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  • [MUSIC PLAYING]

  • DAVID MALAN: This is CS50 and this is lecture 6.

  • And you'll recall that last week we introduced web programming

  • by way of HTML and CSS, or at least the building blocks

  • because we don't actually have the ability to program yet.

  • It's just markup, HTML and CSS with stylization thereof.

  • But we introduced this metaphor last week of a protocol called TCP/IP.

  • And we related it to, of course, an envelope.

  • And on this envelope, virtually, on the front

  • was at least two pieces of information.

  • And if anyone remembers what were those two

  • pieces of information in the to field?

  • Someone else who we didn't hear from recently?

  • Yeah?

  • AUDIENCE: An IP address.

  • DAVID MALAN: Yeah.

  • An IP address, a numeric address that uniquely identifies your computer

  • and someone else's computer.

  • And one other thing, if you remember.

  • Oh, come on.

  • It was like two minutes ago.

  • OK.

  • Yeah.

  • AUDIENCE: A port number.

  • DAVID MALAN: A port number.

  • So another number, shorter number, that's just a number like 80 or 443

  • referring to HTTP or HTTPS, or other numbers,

  • like 25 for email and the like.

  • And so together these unique addresses allow you to send information

  • to not only a specific computer, but a specific service

  • running on that computer.

  • And in order to actually request information from that server,

  • there's this other protocol called HTTP, Hypertext Transfer Protocol.

  • This is what's inside of the envelope.

  • So when the server opens it up, metaphorically,

  • looks inside, this is the command that that server reads in order to decide

  • what it should actually respond with.

  • And so this request here is telling the server--

  • otherwise known as www.example.com in this particular example--

  • to send back what exactly in its own envelope to me

  • and my laptop if I were to request this?

  • AUDIENCE: A specific web page.

  • DAVID MALAN: A specific web page.

  • And someone else, which web page specifically, presumably?

  • AUDIENCE: Index.

  • DAVID MALAN: Yeah, so index.html, which we said last week

  • just tends to be the default file name on a server for a web page

  • that's just selected by default. And it doesn't have to be called this,

  • but it's a human convention.

  • And the rest of this is just a verb saying, literally, get me that file.

  • This is just telling the server what version of HTTP

  • I speak so that humans can improve it and upgrade it over time.

  • But this would tell the server to return index.html.

  • Meanwhile, we saw more sophisticated get queries

  • when we started talking about Google, and any website that

  • has not just a front end, like HTML and CSS, but also a back end.

  • And a back end is where the logic is, where the server is,

  • and the interesting work, ultimately.

  • And so this slash search indicates some kind

  • of software running on Google servers as of last week

  • that's simply responds to requests.

  • And what did question mark q equals cats do or represent in that demonstration?

  • AUDIENCE: User input.

  • DAVID MALAN: Yeah, user input.

  • So the question mark just says, that's it for the file name or the URL.

  • Here comes the user's input.

  • Q is just literally the HTTP parameter or input

  • that Larry and Sergey, founders of Google,

  • 20 years ago decided would represent the user's input, q for query.

  • Equal just means that query that the human typed in was cats.

  • But the human doesn't even have to type this in.

  • Once you understand HTTP, if you really wanted to be kind of a nerd,

  • you could go to www.google.com/search?q=cats and it

  • would induce the search for you because at the end of the day,

  • that's all the browser is doing.

  • When you have these web forms that you now have the ability to create,

  • it's just automating the process of generating these HTTP messages.

  • Now, the server hopefully responds with a message you never, ever actually see,

  • HTTP 200, which literally means OK.

  • Of course, many of us have seen numbers other than 200 appear, like what?

  • 404, which means?

  • File not found.

  • Now, why the humans decided years ago to tell

  • other humans what that numeric code is, I mean,

  • that is an uninteresting detail.

  • But the world, for whatever reason, has revealed in many web sites 404.

  • But it just means the same thing.

  • Everything is not OK.

  • A file was not found.

  • You might see something else like this.

  • We saw this with Harvard, in fact, curiously,

  • that Harvard had moved permanently.

  • Now, Harvard was responding to certain queries with HTTP 301s

  • in order to achieve what feature or effect?

  • Why?

  • Yeah.

  • AUDIENCE: Redirections.

  • DAVID MALAN: Redirections.

  • So this is kind of a low-level way of describing it.

  • But 301, even though it says moved permanently,

  • that's a more technical hint to the browser saying,

  • Harvard moved not to whatever URL you just came from,

  • but to this URL specifically.

  • And now Harvard was probably, if you recall, redirecting me from what URL?

  • If I wasn't already at that URL, where might I have been?

  • Maybe dot com, if they actually own multiple domains and were redirecting.

  • That could work.

  • What else?

  • Yeah.

  • AUDIENCE: Just HTTP.

  • DAVID MALAN: Yeah.

  • Maybe I just typed in HTTP, and Harvard, in the interest of security,

  • wants to force my browser to request this page again via HTTPS.

  • Sometimes a website might prepend the www if you haven't typed it in,

  • or you can be redirected most anywhere.

  • In fact, if you go to CS50's own website by just typing CS50.harvard.edu,

  • watch the URL.

  • You'll be redirected to a more specific page, depending on the time of year.

  • So we use these tricks, as well.

  • 404 not found might look like this, but inside deeper

  • of that metaphorical envelope is the actual contents of the web page.

  • So you get back not only these HTTP headers,

  • as they're called, in the top of the response, so to speak,

  • but you also get back HTML, yet another language we looked at,

  • this one actually a language, but not a programming language.

  • These tags tell the browser exactly what to do and to render.

  • We introduced this style tag, though.

  • What did that allow us to do that HTML alone did not?

  • Yeah.

  • Use CSS to beautify the site and just make it nicer.

  • HTML, for the most part, is about structure

  • and about tagging the contents of your web page in a way

  • that the browser finds helpful.

  • But CSS is really for the user's benefit, at the end of the day,

  • and his or her eyes, because it really lets

  • you control font size and positioning and lower-level stuff

  • that you might have started tinkering with with the most recent problem set.

  • Now, we'd proposed that you probably shouldn't just

  • start typing CSS inside of your HTML page

  • because it's just a little harder to maintain as your examples get

  • more sophisticated.

  • So you might factor it out.

  • And odds are you did this for the problem

  • set because when making a home page, if you have the same CSS

  • styles across multiple files, it would be pretty silly and inefficient to copy

  • and paste them again and again when you can factor them out like this.

  • Lastly, we looked at JavaScript, last time,

  • another programming language that's super similar

  • to see, at least at first glance.

  • But it actually gets rid of a lot of the lower level

  • headaches like pointers and memory addresses and that

  • that we've struggled with in recent weeks.

  • But most important was how we used it.

  • So you can consider a web page like this as once it's loaded by your browser

  • as just being a tree structure.

  • Thinking back a couple of weeks to our discussion of data structures

  • and each of these nodes in the tree we saw in JavaScript can be manipulated.

  • And via that very simple principle, writing

  • code that modifies this existing tree in the browser's memory,

  • means you can make much more dynamic things like Gmail and Facebook

  • and any number of websites that are constantly changing.

  • You did not do this yet for the problems set.

  • You made static web pages just by hard coding HTML and CSS.

  • But starting next week, once we have, thanks to this week, the vocabulary

  • of Python will you start to make things more dynamic

  • and then even bring back into play JavaScript,

  • bringing all of these various threads together.

  • And to include the JavaScript, recall, we used either a script tag at the top

  • or refactored it out to a file.

  • Or in some cases, it's necessary or beneficial

  • to move it down to the bottom of the file or factor it out like that,

  • but more on that down the road.

  • So any questions on last week or on HTTP, HTML, CSS, or TCP/IP?

  • No?

  • Anything at all?

  • Oh, yeah?

  • AUDIENCE: So in what case would you put the script

  • tag up at the top [INAUDIBLE]

  • DAVID MALAN: Good question.

  • So in what cases would you put the script tag up at the top

  • versus at the bottom?

  • If the code you're writing in JavaScript manipulates

  • the DOM, the tree that I had on the screen just a moment ago,

  • the catch is that that tree needs to exist when your code is executed.

  • So if you, for instance, have JavaScript code up here in the head of your page,

  • but the nodes in the tree, the tags that you

  • want to manipulate in changing things to red to green to blue

  • like we did last week, or making things blank, are down here in the page,

  • you can't write your code up here and have it change things in the page

  • down here because it's happening out of order.

  • So similar in spirit to C where things have to happen in the right order,

  • if you want to change something down here,

  • your code needs to at least be down here,

  • or you need to use some fancier techniques to say,

  • I'm going to write my code up here but wait a few seconds

  • before executing it until the whole webpage is loaded.

  • So for most of the examples we looked at, this was not an issue.

  • But we'll come back to this perhaps before long.

  • All right, so let's now take the same approach

  • that we did last time of introducing one language by way of another.

  • You'll recall, of course, that we started the whole semester with Scratch

  • and then we transitioned a few weeks back now to C. Last week

  • we made some comparisons with JavaScript.

  • Let's do the same thing briefly with Python

  • but then spend more time at the keyboard comparing the two to see

  • what actually is different about these.

  • So why in another language, though, first?

  • We have Scratch, C, JavaScript, Python, not to mention HTML and CSS

  • for different purposes.

  • Like, why do we have all of these darn languages already?

  • Why didn't humans just decide, that's it, we're all using Scratch?

  • We're all using C or JavaScript or Python?

  • What's, perhaps, the intuition behind that?

  • Why are there so many damn languages, not to mention in this one course?

  • Yeah?

  • AUDIENCE: [INAUDIBLE]

  • DAVID MALAN: Say once more?

  • AUDIENCE: Different ones are good for different things.

  • DAVID MALAN: Yeah, different ones are good for different things.

  • And this probably goes without saying for something like Scratch, right?

  • It's so visual.

  • It's so graphical and animated.

  • It makes sense that the puzzle pieces--

  • or that the language itself is based on puzzle pieces

  • and dragging and dropping.

  • So maybe languages are tailored to certain applications.

  • But is that true for C, Python, and JavaScript, which

  • are all text-based languages we'll see?

  • AUDIENCE: [INAUDIBLE] for example, they're

  • different levels of abstraction.

  • DAVID MALAN: OK.

  • Different levels of abstraction.

  • AUDIENCE: C is very [INAUDIBLE] actually dealing with a lot of things that you

  • don't have to think about in Python--

  • DAVID MALAN: Good.

  • AUDIENCE: --where these sort of things are taken care of for you,

  • such as memory allocations and so on.

  • And so depending on what level of abstraction you want to work on

  • and what parts you want to manipulate.

  • DAVID MALAN: OK, good.

  • Bringing it back to abstraction does make sense.

  • C is, indeed, very low level, literally having the ability to manipulate memory

  • and via pointers and so forth.

  • And that's great because you can do anything you want with the computer.

  • But it comes at great risk and great cost.

  • One, the cost is human time.

  • It's just painful to write that kind of code sometimes.

  • Two, it's also very risky because if you make a mistake, even a simple mistake,

  • the whole computer can crash.

  • And we didn't see examples of this, but you

  • can make your code vulnerable to a hacker

  • if he or she is able to somehow exploit a memory-related bug

  • and read all of the passwords in your program, or something like that.

  • So with great power comes great responsibility

  • is kind of the mantra of C down here.

  • But JavaScript we saw allows us to do things a little more high-level.

  • There were no pointers.

  • There was no memory.

  • We didn't talk about things at that level.

  • We talked about things at the level of a tree,

  • a DOM in memory and changing colors and positioning of things on the screen.

  • And that's, indeed, a higher level.

  • Now, Python is not necessarily even web-centric.

  • It's more of a multi-purpose language.

  • People use Python to write command-line programs,

  • like we will soon, at the keyboard, like we've been doing with C.

  • You can also, though, use it, as we'll see

  • next week, to generate other languages.

  • So next week we will write code in Python,

  • the language we're about to see, to generate another language, HTML

  • and CSS.

  • Some of you probably noticed in your homepages that you had some redundancy.

  • You probably had similar tags or similar structure,

  • maybe a similar menu across pages.

  • Python and other languages will let us factor that

  • out and generate those commonalities a lot more

  • easily, among many other things.

  • And it's also arguably easier and faster to write

  • because it comes with so many more features, as we will soon see.

  • So in fact-- you know what?

  • Let me do this.

  • Let me go ahead and open up CS50 IDE.

  • Let me go ahead and create a new file.

  • And out of curiosity, of our recent problem

  • sets, what was maybe among the most challenging programs you've written?

  • AUDIENCE: Crack.

  • DAVID MALAN: OK, crack was a good one.

  • What else?

  • AUDIENCE: Resize.

  • DAVID MALAN: Resize, recover.

  • Yeah, definitely the forensics ones.

  • And more people probably did recover and resize.

  • So let's take resize, for example.

  • So let me go ahead and write a program in a file called resize.py for Python,

  • instead of .c, and see if we can't spend, what, few hours, couple days,

  • as you probably did in C, implementing resize.

  • Well, let me go ahead and do this.

  • I'm going to go ahead and--

  • let's see.

  • First I'm going to import some features that just come with Python.

  • And I'm going to go ahead and say from sys import argv.

  • And I'm going to go ahead and also do from pil import image.

  • Don't know yet what these are.

  • We'll tease this apart in a moment.

  • But then let me just do a check.

  • If the length of--

  • rather, if the length of argv does not equal 4,

  • I'm going to go ahead and exit for the user and say the usage of this program

  • is Python resize.py and in file, out file.

  • So even though some of this should look cryptic at the moment,

  • there's some commonalities-- argv, you recall, from C,

  • and this usage string that we printed out whenever anything went wrong.

  • That looks very similar in spirit to C.

  • And what did we do in resize?

  • If you implemented resize, like the less comfy version,

  • to increase the size of things, you probably declared a variable like an

  • and got sys--

  • or rather, argv bracket one to get access to it.

  • I'm going to go ahead and convert that or cast that to an int.

  • You probably had an infile variable that gave you access to argv two.

  • You probably had an out file variable that gave you access to argv three,

  • and so forth.

  • And it turns out in Python, you know what?

  • I can actually use a library, code that other people have written.

  • Let me come up with a variable called in image, like infile.

  • This is my input image.

  • And that's going to equal image.open because I

  • want to open this thing called infile.

  • And then the width--

  • let me get the width and the height of the existing image

  • by doing input image.size.

  • And then let me go ahead and make a new image-- out image, I'll call it--

  • which is going to equal the input image calling a resize function

  • and doing the width times n, which is the number the human probably typed in,

  • and height times n, which is the number the human typed in.

  • Then let me go ahead and just save the outfile as follows.

  • Outfile, OK.

  • Done.

  • Problem set three.

  • Tada.

  • OK, either really exciting or really, really disheartening perhaps.

  • So with the right language, as you say, can you

  • solve problems so much more easily.

  • Now, I'm being a little disingenuous because I'm also

  • leveraging what's called a library.

  • And we had access to these in C. And undoubtedly

  • we could have dug a little deeper on the internet

  • into other people's available code and found maybe a library for bitmap files.

  • But notice that there is no dealing with padding now.

  • There's no dealing with arrays.

  • There's no dealing with memory because I'm using the right tool for the job.

  • And if I wrote this code correctly-- and let

  • me cross my fingers that I didn't make any typos.

  • Let me go ahead here and get myself a copy

  • of smiley, which I brought with me.

  • So that was the tiny little image from last week.

  • Let me go ahead and open this in the IDE.

  • Smiley, super small.

  • Just a few pixels there.

  • And let me go ahead now and run Python, which we'll see why in a moment,

  • resize.

  • Let's increase this by a factor of 10, increasing Smiley, and call it out.bmp.

  • Now let me go ahead and open out.bnp and voila, it indeed seems to work.

  • Right, no funky colors.

  • No weird sizes.

  • No padding.

  • No padding of all things.

  • It's just now Python.

  • So you can probably glean some of the logic that's going on here.

  • But some of it certainly should and probably does look magical.

  • So let's use today to tease this apart and appreciate not only

  • what you can do with another language like Python,

  • but how it's similar and different and how it actually

  • is built upon something like C. So let's do some comparisons first

  • so that we can see that it's not a huge stretch to introduce

  • yet another language so quickly.

  • So recall that in Scratch if we wanted to set a variable, like counter,

  • to zero, you might simply do something like this,

  • setting it equal to zero at left.

  • In C, we would do the same thing here at the right.

  • In JavaScript, this instead looked a little different.

  • What did we do in JavaScript?

  • Yeah, we used let instead because we don't specify explicitly the type.

  • But we do need to tell the computer, let me have this variable called counter.

  • In Python, it's going to be that.

  • So we've gotten rid of the type still.

  • We've gotten rid of any mention of let or another keyword.

  • And we've gotten rid of-- perhaps most gratifyingly--

  • semi-colons are gone.

  • No more semi-colons.

  • And no more curly braces in the way you've seen them thus far.

  • So that was C, JavaScript, and now Python.

  • So how about something like this?

  • In Scratch, if you wanted to increment a counter by one,

  • you would use a block like this.

  • In C, we would do the same on the right here in code.

  • In JavaScript, did it look any different on the right?

  • No.

  • You haven't had occasion to use this yet.

  • But one of the sort of revelations of JavaScript was that's also JavaScript.

  • It was identical.

  • Something like this, though, is Python.

  • So it's almost the same.

  • But I've gotten rid of the semi-colon.

  • But the logic is exactly the same--

  • set counter on the left equal to whatever it is on the right plus one

  • additional value.

  • What about this?

  • This in C had what effect?

  • Incrementing the variable.

  • So this is exactly the same.

  • It's sort of a nice shorthand notation for doing counter equals

  • counter plus 1, which just gets a little tedious to type.

  • We had that same syntax in JavaScript.

  • And you can probably guess in Python, what's it going to look like?

  • AUDIENCE: Same thing without the--

  • DAVID MALAN: Same thing minus the semi-colon.

  • So pretty nice pattern so far.

  • Languages just keep getting trimmer and trimmer, if you will.

  • In C, recall that we could just do plus plus,

  • which was another trick for automating that same process.

  • JavaScript allows for the same.

  • And if you really like this syntax, I can't show you a slide for Python.

  • Doesn't exist.

  • Can no longer do plus plus.

  • So we're paying a price.

  • The author of Python did not include this in the language.

  • But that's OK.

  • We at least have this one, which is not too horrible.

  • So what else did we look at last time?

  • An if condition like this, comparing if x is less than y,

  • in C it looks like this.

  • In JavaScript it looks like this same thing.

  • In Python, it looks like this.

  • So gone are the curly braces.

  • Added is a colon.

  • And what you don't see yet is that indentation is going to be important.

  • So any of you have been a little fast and loose with style 50

  • and, like we've seen at office hours, all of your code,

  • however many lines you've written for whatever reason

  • is all aligned on the left and nothing is actually indented.

  • Now Python is not going to tolerate that.

  • Python requires indentation for logic.

  • And so this is actually a stylistic feature of the language.

  • It forces you to adopt good visual stylistic habits because the code just

  • won't run if you haven't indented it properly.

  • So anything that's going to happen if x is less than y

  • needs to be indented, say, four spaces underneath that colon.

  • What else have we seen?

  • In C or in Scratch we had this block for if's and elses.

  • In C it looks like this.

  • In JavaScript it looks like this.

  • In Python it's going to look like this, albeit with indentation

  • below each of those colons.

  • How about this?

  • When we had three-way a fork in the road-- if else, if else--

  • in C it looks like this.

  • JavaScript looked the same.

  • In Python, looks a little funky.

  • It's going to look like this--

  • elif but three colons, this time two.

  • What else?

  • We also looked at forever loops in Scratch, in C, and in JavaScript.

  • You could use exactly the same syntax in Python, almost the same.

  • Gone are the curly braces, added is the colon.

  • And the slight subtlety, if you noticed, true and false

  • are now proper nouns, if you will.

  • Capital T capital F is necessary to write.

  • How about a for loop?

  • So in Scratch, we could very easily say, repeat this 50 times.

  • C and JavaScript is a little pedantic in that you have

  • to initialize and increment and check.

  • Both C and JavaScript take that same approach,

  • although in JavaScript we of course use let instead of int.

  • Python is a little more succinct although a little less explicit

  • step by step.

  • You just do this.

  • For i in range of 50 is the way of saying start iterating at 0,

  • count all the way up to but not including 50,

  • thereby giving you a range of values.

  • So this is the one that's perhaps the most weird

  • thus far, but still a little more succinct to write.

  • So in C, we had so many data types-- bool, char, double, float, int, long,

  • string--

  • the last of which, of course, came from the CS50 library.

  • And there's others that you can use in C,

  • as you might recall, from problem set 3, perhaps.

  • In Python, we're going to shorten this list, at least initially,

  • to just these data types.

  • In Python, we're going to have bools for true-false, floats for real numbers,

  • ints for integers, and then strs for strings.

  • Just a little more succinct, but it does actually exist. str in Python

  • is a real thing.

  • It is not a CS50 addition.

  • There are other data types that come with Python.

  • In fact, this is where the language gets powerful.

  • And those of you who came from a Java background or C++,

  • the subset of you who have programmed before,

  • you have more features in Python just like you do in those other languages

  • that we did not have in C. In Python, you have dictionaries or hash tables.

  • You have lists, which are arrays, but that can automatically resize.

  • You don't have to decide in advance how big or small they are.

  • Range we just saw, it's a range of values, like 50 of them,

  • set in the mathematical sense.

  • It's a collection of things that ensures you don't

  • have duplicates in that collection.

  • And then tuple is a combination of things kind of like for math

  • when you have x comma y or latitude comma longitude.

  • Any time you have pairs or triples or more of things,

  • those are called tuples.

  • And those are common in math courses and higher-level CS theory classes,

  • as well.

  • But we do give you, at least in this first week

  • of our look at Python, a few functions from CS50,

  • among them getFloat, getInt, and getString, which behave exactly

  • like their C counterparts.

  • And this is just going to allow us to start

  • writing code very reminiscent of what we did the last few weeks.

  • But let's consider what's going to change

  • as we're about to start writing our own programs.

  • In C, when you wanted to use the CS50 library, you of course

  • included its header file.

  • That syntax is going to change in Python so that for this first week when

  • you want to use the CS50 library, you're going to instead say

  • from CS50 import and then a comma separated list of the functions

  • that you want to import or use in your code.

  • So it's a little more precise.

  • This syntax is not saying give me everything.

  • Give me this, this, and this other thing.

  • And if you want to use one or more, you can just separate them by commas.

  • As an aside, especially those of you who have seen Python before,

  • there's other ways to do this.

  • There are several approaches.

  • This is, perhaps, the most comparable for our purposes today.

  • What else are you're going to have to know?

  • In C you had to compile your code.

  • And you did so with clang, like this.

  • And then you ran your program with dot slash hello.

  • Or more simply, you did make hello and then

  • we'd figure out the command for you in the IDE or the sandbox or lab.

  • In Python, you're going to skip the compilation step.

  • When you want to run a program in Python,

  • you're going to do just what I did quickly before.

  • You're just going to run the command Python and then the name of the file

  • that you want to run.

  • And the reason for this is as follows.

  • In the world of C, recall that we had this sort of pipeline process

  • where we have our source code as our input.

  • And then we wanted to get to the point of machine code, the zeros and ones.

  • And what was standing in between source code and machine code,

  • just to be clear?

  • What process?

  • Yeah, so compiling.

  • So we had a compiler in the middle whose purpose in life

  • is by definition to translate one language to another.

  • It happens to be an English-like language to a computer-like language,

  • but a compiler is a general term that just converts one thing to another.

  • And so this pipeline for C looked like this.

  • And that's why you had to run Clang explicitly, or make.

  • You had to induce that middle man operation

  • to convert the language to something the computer understands.

  • Python and other languages are not typically compiled in the same way.

  • They're generally said to be interpreted,

  • whereby you don't compile them into zeros and ones

  • and then run the program.

  • You instead run a program that someone else wrote called Python.

  • And that program is, by definition, an interpreter.

  • And that interpreter's purpose in life, as the word

  • implies, is to read your code top to bottom, left to right,

  • and just do exactly what you tell it to do,

  • step by step by step, without doing the upfront work of converting things

  • to zeros and ones.

  • So in the human world, if I speak English and someone there

  • speaks Spanish and we don't speak each other's language,

  • we might put a third human in between us, obviously a human interpreter.

  • The role is very similar.

  • The interpreter listens to me and then translates

  • that to something the computer understands.

  • But it doesn't get into zeros and ones.

  • It just goes from one directly to the other.

  • So the difference here in Python is that you still

  • are going to write source code, like I quickly did for resize.

  • And ultimately, we want to actually get it

  • into a program called an interpreter.

  • And so the step ideally just looks like this.

  • But as an aside, Python is a pretty sophisticated language.

  • And even though we have the pleasure of running it just

  • with one step instead of these two steps, there actually is, as an aside,

  • some magic going on underneath the hood.

  • And for the curious, there actually is, for performance reasons,

  • a compiler built into Python that actually converts it to something

  • intermediary called bytecode.

  • And bytecode is what's actually interpreted.

  • And so this is why Python, while potentially slower than C

  • at certain tasks because you're not going to the low level zeros and ones,

  • can actually be used in business applications and popular websites

  • and such.

  • And that didn't really work very well.

  • And so it can be highly performing, as well.

  • But more on that in a little bit.

  • So with that said, if these are the differences not only

  • syntactically but also mechanically, let's go ahead

  • and actually write a program.

  • So let me go ahead and go into the IDE.

  • Let me close our examples from before.

  • And let's start more simply because resize was a mouthful all at once.

  • Let me go ahead and create a file called hello.py.

  • And instead of writing this program in C,

  • let me go ahead and just write hello world.

  • So let's go ahead and do this.

  • Print hello world.

  • Done.

  • That's my first program in Python, and truly my first program in Python,

  • not sort of coming out swinging with resize.

  • So what is not present in this file that was in something like hello.c?

  • There is no main function necessary here.

  • What else is missing?

  • AUDIENCE: Printf.

  • DAVID MALAN: There is no mention of printf.

  • It's instead print, which is a little more human friendly.

  • AUDIENCE: Libraries.

  • DAVID MALAN: There is no mention of header files or libraries

  • at the top of the file.

  • I just dived right in and got to it.

  • Yeah?

  • AUDIENCE: No semi-colons.

  • DAVID MALAN: No semi-colons.

  • What else?

  • What else?

  • Yeah?

  • AUDIENCE: No backslash n.

  • DAVID MALAN: No backslash n.

  • I probably-- I haven't run it yet, but I think

  • I will get that for free this time with Python.

  • I don't have to be so explicit.

  • Was there another hand here?

  • AUDIENCE: There's no f in printf.

  • DAVID MALAN: There's no f in printf, yep.

  • Something else?

  • There's no indentation.

  • Though to be fair, there's only one line.

  • But there's no indentation.

  • That's fair.

  • That's fair.

  • There's no curly braces, as well.

  • There's no mention of int.

  • There's no mention of void.

  • I mean, my God.

  • Why didn't we just do this last time?

  • And so this is why languages evolve.

  • People realized years ago, gee, C is serving us well.

  • Once I understand pointers and the syntax, OK, I got it.

  • But my God, it's just so tedious to write even the simplest of programs

  • because I have to do hash includes, standard io.h, int main void, I mean,

  • all of this syntactic overhead that's getting in the way of you just

  • doing the work you care about, which in simplest form

  • here is just printing hello world.

  • So Python and a lot of more modern languages-- among them,

  • Ruby and PHP and others--

  • just get rid of a lot of that overhead so that you can just get down

  • to work more quickly right away.

  • So how do I go ahead and run this?

  • In C, recall, I would have done dot slash hello.py.

  • But we just said a moment ago that's not the right approach.

  • How do I go and run this program?

  • Yeah, so I run literally a program that is coincidentally called Python itself.

  • That is the interpreter.

  • That's the man in the middle between me and my Spanish-speaking friend that

  • just has to convert hello.py into whatever the computer itself

  • understands.

  • And so there, indeed, we have hello world.

  • And as you notice, there's no backslash n on my code.

  • But I am moving the cursor to the new line.

  • So Python just decided, you know what?

  • It's so damn common to have new lines, let's just add those by default.

  • You know, the price we're going to pay is it's

  • a little annoying to get rid of them.

  • But we'll see that in a little bit, too.

  • So just a tradeoff.

  • All right, let's do another one.

  • That's just a simplest of possible programs.

  • Let's go ahead and do, say, something a little fancier

  • that allows us to do something more than that.

  • So let's go ahead, say, and compare not just

  • that, but let's actually go get some user input.

  • So for user input, there's a few ways to do this.

  • We'll do it the CS50 way initially, but these are training wheels this week

  • that we'll use for just a week before we take them off,

  • just bridging us from C to Python.

  • Let me go ahead and call this string zero.py

  • because I'm dealing with strings.

  • And let me go ahead and do s to give me a variable.

  • Get string.

  • Let me prompt the human for his or her name like this and then let me go ahead

  • and say hello.

  • And so and now I just have to consider how to print out their name.

  • And in Python, I can actually just do this.

  • I don't need to do percent s.

  • I don't need to put a second-- or, I do need to put a second comma here.

  • But I can just do this, which is a little simpler.

  • And this is not correct.

  • I'm not practicing what I preached.

  • Get rid of the f.

  • Just print what you want to print, indeed.

  • So s, notice, is apparently a variable because I'm assigning

  • it a value from right to left.

  • But notice that I'm not specifying the type.

  • So Python does have type. str we said is the string equivalent.

  • But you don't have to mention it.

  • Python, like JavaScript, will just figure it out, even without a keyword

  • like let.

  • But I do need to add one thing.

  • What's that?

  • AUDIENCE: You need to import the getString?

  • DAVID MALAN: Yeah, getString is a CS50 thing.

  • And we're only going to use it for a week, but I do need to import it.

  • And the syntax with which to do this is to say, from the CS50 library,

  • import a function called get string.

  • I don't need to import any more with commas.

  • That one suffices for this program.

  • Yeah.

  • AUDIENCE: Would you want to--

  • instead of saying hello your name, would you want to first getName that says

  • [INAUDIBLE]?

  • You're not indicating where the error is [INAUDIBLE]..

  • DAVID MALAN: Sure, let me come back to this in one second.

  • Let's run this program first to demonstrate that it indeed

  • does what we saw it do last week.

  • And let me go ahead here and do this time Python of string 0.

  • Let me go ahead and it's just waiting for my name.

  • So I'll type in David.

  • Hello, David.

  • But as you propose, what if you wanted to flip this around?

  • Well, suppose I wanted to say the person's name and then

  • something like hello because I'm just excited to see them, instead.

  • Let's see what this does.

  • Let me go ahead now and run Python of string 0.

  • Type in my name.

  • And it's almost what I think you intended.

  • But there is a bug--

  • an aesthetic bug, at least.

  • So it seems with Python's print function you don't need

  • to use the placeholder like percent s.

  • But it would seem to presumptuously add a space for you after everything you're

  • passing in as an input to print itself.

  • So notice print is taking how many arguments

  • according to this highlighted portion?

  • How many arguments might you infer?

  • AUDIENCE: S space and then the thing.

  • DAVID MALAN: Two?

  • Yeah, so two.

  • One is s, comma, and then the rest is what's highlighted in green here.

  • Yes, there's a second comma there, but it's inside of the string.

  • So just like in C, that's sort of a red herring.

  • There's only two arguments here.

  • But it seems that the print function-- and you would know this

  • by reading that documentation-- if you pass in two or three or more arguments,

  • it prints all of them.

  • But separates them with a single space.

  • So this isn't quite right.

  • So this is actually a great motivation for cleaning this up.

  • If I want to actually improve this program and tidy it up a little bit,

  • let me do that in version one here.

  • Let me create another file called, say, string1.py.

  • Let me start where we started a moment ago.

  • And let me actually use a placeholder akin to C. So if I want to do,

  • for instance, hello so-and-so, it turns out you can actually say, hey Python,

  • put a variable called s right here.

  • However, if I run this as is, there's still going to be a bug.

  • It's not quite solved yet.

  • But when I hit Enter now and type in my name--

  • all right, this is obviously stupid looking.

  • So it seems that I need to tell Python that this string that I'm passing in,

  • hello comma so and so, is a formatted string.

  • It's a placeholder string that it should make some changes to.

  • And this is a little weird, cryptic syntactically in Python.

  • But the way you do this in Python is you put an f before the string itself.

  • So I'm sorry, we got rid of the f a moment ago.

  • So we just called it print.

  • Now we're reusing a different f here.

  • And it's stupid-looking syntax, admittedly.

  • But this just means hey, Python, the following double quotes

  • or single quotes that you're about to see should

  • be formatted by you in a special way.

  • And it literally goes at the beginning of the string

  • even though that does admittedly look weird.

  • But if I now rerun this Python string one and type in my name now,

  • now it does the substitution.

  • So I can flip it around logically much more flexibly now

  • and do something like hello because now I'm passing in one argument

  • that print will format for me.

  • So when I type in my name now, I'm not going to get that superfluous space.

  • And now I have complete control over the formatting of the string.

  • So you know, sort of two steps forward, one step back, perhaps, syntactically.

  • But it does allow us to do what we want this to do.

  • We could write the same program using ints

  • and floats using getInt and getFloat.

  • Would look exactly the same.

  • You don't need to worry about percent s versus percent i versus percent f.

  • You just type in the variable name inside of those curly braces.

  • All right, let me go ahead and do some quick math.

  • Let me go ahead and do this.

  • Let me go ahead and create a new file.

  • We'll call this ints.py for integers.

  • And let me go ahead and get this access to--

  • how about the CS50 library's get int method or function which exists.

  • Then let me go ahead and declare a variable

  • called x and get an int from the user and just prompt him or her for x.

  • Then let me go ahead and do the same thing

  • and just get y from them, as well.

  • And then down here, let me just do some simple math.

  • And we did this way back in week one by printing as follows.

  • Let me go ahead and just print out x plus y equals--

  • and this is what's cool now about this curly brace feature.

  • You can actually do not just variable's names,

  • but you can do simple operations in there, too.

  • I can literally do math inside of those curly braces and print out that value.

  • But of course, this alone is just going to literally print the curly braces.

  • What do I have to add?

  • Yeah, so it looks a little weird.

  • But this now will solve that problem.

  • It will print literally x plus y equals whatever the actual sum is.

  • AUDIENCE: Just following up, what does f mean?

  • DAVID MALAN: Format.

  • Format the following string for me.

  • Good question.

  • Let's do just a few copy/paste but change the operator here.

  • So x minus y, I want to see what this looks like.

  • X, say-- what did we do last time?

  • Multiplying by y.

  • I want to do that math, too.

  • I can divide as well.

  • And then we had one more, which was modulo,

  • or modular arithmetic, which, recall, was the percent sign.

  • So syntactically, it's identical to see.

  • We're just adding this curly brace notation just for the print function

  • right now.

  • Let me go ahead and run this.

  • Python of ints.py.

  • And let me go ahead and do one and say two.

  • So 1 plus 2 is 3.

  • 1 minus 2 is negative 1.

  • 1 times 2 is 2.

  • 1 divided by 2 is 0.5.

  • And 1 then divide by 2 and take the remainder is 1.

  • So I think this checks out mathematically.

  • But you should be a little surprised by one of these outcomes.

  • Say again?

  • AUDIENCE: You're getting a float.

  • DAVID MALAN: Yeah, I'm getting a float.

  • Like, Python itself seems to have fixed a bug in C itself.

  • What happened in C when you divided 1, an integer, by 2, an integer, in C?

  • You would get another integer.

  • And what's the closest integer you can represent

  • that doesn't have a decimal point?

  • 0, because the C would truncate everything after the decimal point.

  • And yet, Python seems to have fixed this problem.

  • And this is actually a somewhat recent phenomenon.

  • And this a huge religious debate as to whether or not

  • you should just keep the historical definition of division, which

  • is floor division, so to speak, or we should make it truly division,

  • like we all grew up learning in school.

  • Python took the latter approach and made division mean division, true division,

  • where if you divide two ints you get back a float.

  • Of course, this is a problem if people want

  • to write code that assumes that it's going to be truncated.

  • That can actually be a powerful feature.

  • So it turns out, and you won't have terribly many occasions to use this,

  • but the compromise in the world was, all right, if you really

  • want the old behavior of the division in Python, we will give it back to you.

  • You have to use two slashes.

  • So again, another one of these two steps forward, one step back.

  • But it's there, so problems can still be solved in the same way.

  • And this, if I save it and rerun that same code, 1 and 2,

  • now I get back 0, just as I would in C, which does have some applicability.

  • Let's do one other example now involving some numbers.

  • And let me go ahead and call this floats.py.

  • And let me do the same thing, from CS50 import getFloat this time.

  • So I can deal with floating point values.

  • Let me declare a variable x and get a float

  • and we'll ask the user for a variable x.

  • Then let's go ahead and get another float, and just as before, call it y.

  • But this time both of them are, indeed, floats.

  • Then let me go ahead and do some math, x plus y equals z.

  • Let's give myself a third variable.

  • And then let me just go ahead and print out a similar message--

  • x divided by y equals z.

  • All right, and let me go ahead and save this, clear my terminal,

  • and do Python of floats.py.

  • 1 divided by 10 this time.

  • And I get-- dammit, bug.

  • How do I fix this?

  • All right, so just a simple f.

  • Make it a format string.

  • No big deal.

  • So let's rerun this, 1, 10.

  • OK, hoo, hoo.

  • That's a new one.

  • What is going on there?

  • AUDIENCE: [INAUDIBLE]

  • DAVID MALAN: I did define z in the line above it, and what was your comment?

  • AUDIENCE: You used x plus y.

  • DAVID MALAN: I did use x plus y, but I think I--

  • oh, wait, OK.

  • I'm sorry.

  • Let's-- OK, so we can fix that.

  • Let's-- sorry.

  • There.

  • OK, so 110.

  • Hmm, still wrong.

  • Good catch, thank you, though.

  • Why is 1 plus 2 11--

  • or 1 plus 10, 11?

  • Yeah?

  • AUDIENCE: [INAUDIBLE].

  • DAVID MALAN: Wait, wait, wait.

  • Sorry.

  • AUDIENCE: [INAUDIBLE]

  • [LAUGHTER]

  • DAVID MALAN: This brings me back to my earlier point as to how tired I am.

  • So this is correct.

  • So Python does math correctly.

  • But-- OK, horrifying.

  • All right, so now let's do division and try

  • to make the point I think I meant to make late last night where I if I do 1

  • divided by 10, OK, 1 divided by 10, as expected, does actually work here.

  • So 0.1, that's correct.

  • But remember in C-- let me dig myself out of this hole--

  • remember in C what happened if we dug a little deeper

  • and we looked a little past the first decimal point.

  • So how do I do this in Python?

  • It's actually pretty similar.

  • Let me go ahead and not just show myself z but go ahead

  • and print out to, let's say, two decimal places that same value.

  • The syntax here is weird.

  • It's different from C. But you literally take the variable that you want

  • to format, you put a colon and then a dot--

  • because you want to adjust the dot--

  • and then you want to say something like 2f.

  • So this is saying, hey, Python, format the variable

  • that's to the left of the colon using two decimal points.

  • And by the way, it's a floating point value.

  • So this f has a different meaning.

  • This is f as in float.

  • The f to the left is in format.

  • So let me go ahead and run this.

  • 1 divided by 10.

  • And OK, still looking pretty good.

  • Let's do maybe three decimal places, save that, rerun it.

  • 1 divided by 10.

  • Still pretty good.

  • Let's get a little ambitious.

  • Let's do it 50 decimal places out, 1 divided by 10, and damn it.

  • Python has not fixed this fundamental problem.

  • So we describe this problem as what?

  • What's the sort of buzzword here to sort of explain or forgive this issue?

  • AUDIENCE: [INAUDIBLE]

  • DAVID MALAN: This is an integer overflow, related in spirit.

  • Integer overflow literally happens when you're

  • doing lots of addition and something's rolling over from a big value

  • to a small or even a negative.

  • Similar in spirit.

  • Yeah?

  • AUDIENCE: [INAUDIBLE]

  • DAVID MALAN: Yeah.

  • If you want to have an infinite amount of precision all the way out,

  • you need an infinite amount of memory.

  • And no Mac or PC or phone has an infinite amount of memory.

  • At some point, a line is drawn in the sand and you can only be so precise.

  • And so imprecision was the analog in the floating point world

  • to overflow, recall, where if you only have a finite number of bits

  • you can do really well up to a point.

  • But eventually, the computer's got to estimate that value for you

  • because you can't represent an infinite number of values.

  • So this is to say Python is just as limited, fundamentally,

  • as some other languages like C. So we've not

  • gotten rid of all of those problems.

  • But frankly, in the world of data science and analytics,

  • it's certainly important precise mathematics.

  • So there are solutions to this problem.

  • But it requires special libraries, typically,

  • importing something that allows you to use as much memory

  • as you want more than just the default amount of memory.

  • So that problem there still exists.

  • Let me go ahead and open up one other example here.

  • And in fact, in C, you'll recall that we had this example here.

  • In C we had a program called overflow.c.

  • And notice that this code in C from a few weeks

  • back just multiplied i by 2, by 2, by 2.

  • So it was doing exponentiation, so to speak--

  • 1 to 2 to 4 to 8, 16, 32, 64, and so forth.

  • What happened if we waited long enough and watched

  • this program a few weeks back?

  • AUDIENCE: You go to 5 billion instead of--

  • DAVID MALAN: Yeah, we hit roughly 5 billion or 4 billion--

  • or rather, we technically hit, I think, 2 billion, and then it rolled over.

  • And it actually created a problem.

  • So let me actually do this.

  • Let me go ahead and make overflow so we can demonstrate

  • the points that you made earlier about integer overflow, which is, indeed,

  • this one.

  • Let me go ahead now and run overflow.

  • I'll expand my window just so we can fit a little more in the screen.

  • And as this runs--

  • whoops, let me fix this.

  • Here we go.

  • Let me go ahead and make overflow.

  • And now 1, 2, 4, 8, 16, 32, and so forth.

  • It's a little slow to start, but doubling and doubling

  • is going to get us up to a big value pretty quickly.

  • This is indeed going to overflow once we hit roughly 2 billion.

  • Why?

  • Why two billion, give or take?

  • Why that value in C?

  • Yeah?

  • AUDIENCE: [INAUDIBLE]

  • DAVID MALAN: Yeah, that's how much an integer

  • can store because we're calling C. An int is typically 32 bits or 4 bytes.

  • And with 32 bits, you can represent four billion possible values.

  • And if half of those values are positive and half of them are negative,

  • it stands to reason that the highest you can count is roughly 2 billion.

  • And indeed, once we try to count up just doubling one billion, we overflow.

  • So to your point earlier, overflow is still an issue,

  • but in the context of integers.

  • But now let's try a Python version of this.

  • Let me go ahead now and open up overflow.py,

  • which is a program I wrote in advance.

  • It's on the course's website, as always, if you

  • want to take a look more closely.

  • And if I go into this file in weeks one, overflow.py, we see this code.

  • So it's almost the same.

  • But notice I'm using another library that we've not

  • seen before, from time import sleep.

  • It's kind of cute.

  • So this allows me to sleep for a second.

  • That's going to get tedious quickly, but that's OK.

  • Let's do this real fast.

  • If I go into the source six directory, weeks one,

  • and run Python of overflow.py, it's the same function-- or same program,

  • functionally.

  • But honestly, this is getting a little tedious.

  • Let's go ahead and not sleep for a second every time, save and reload.

  • Let's just run the thing.

  • Whew, look at it go.

  • Only up there.

  • Look up there.

  • What's it doing differently?

  • It's counting a lot higher than 2 billion.

  • So what might you infer about integers in Python?

  • AUDIENCE: [INAUDIBLE]

  • DAVID MALAN: Say again?

  • AUDIENCE: An integer is defined to be quite a number of bits.

  • DAVID MALAN: OK, an integer is defined to be quite a number of bits.

  • And indeed, that's the case.

  • Python is not actually this slow.

  • It's because we're running a web based IDE and the internet itself

  • is a little slow.

  • And so what's happening here is just the internet is getting in the way.

  • But suffice it to say that Python is counting up way, way higher than C was.

  • And that's the power you get by just using larger data types.

  • We could have done this in C. We could have used longs, for instance.

  • But notice that with Python you just get more by default out of the box.

  • Let's go ahead and take a five minute break here.

  • And when we resume, we'll introduce some more syntax

  • and solve some more problems.

  • All right, so let's take a look at a few other examples

  • that are comparable to what we did back in week one and look at a few

  • from week two and three and really take a look

  • not just at the syntax, ultimately, but some of the features of Python.

  • And of course, we need the ability to express ourselves conditionally

  • or logically with control flow.

  • And so let me propose a quick program here

  • that we'll just call conditions.py, reminiscent of conditions.c

  • some time ago.

  • Let me go ahead and import from CS50 getInt this time

  • and get myself another x with getInt x from the user.

  • Then let me go ahead and ask them for getInt y from the user.

  • And then let me go ahead and just compare them.

  • And so per our comparison with Scratch a bit ago,

  • I can simply say if x is less than y, then go ahead

  • and print out, for instance, print x is less than y, just as we did weeks ago.

  • Elif if x is greater than y, we can go ahead

  • and print out x is greater than y.

  • And then we can still have a third condition, else, just

  • like in C, where we print out, for instance, the logical conclusion.

  • x is equal to y.

  • So just to point out some of the differences,

  • indentation is ever so important now.

  • And it's got to be consistent.

  • You can't have four spaces and three.

  • You've got to have, for instance, four all the way.

  • Notice that I've got the colons consistently there.

  • But notice that I don't need the parentheses, either, anymore.

  • And with Python, there's sort of a buzzword, Pythonic.

  • There is a Pythonic way of doing things.

  • You can have parentheses around x, less than y, or x greater than y,

  • just like in C. But it doesn't add anything logically, arguably.

  • And if it doesn't make your code more readable,

  • don't clutter your code with additional characters.

  • And so that's a general rule of thumb now.

  • Python is much more trim when it comes to syntax, only

  • introducing it when it really solves a problem, which in this case,

  • it doesn't really.

  • Yeah?

  • AUDIENCE: Quick question, the lines [INAUDIBLE],,

  • those are grouped right together, one to the next, one to the next,

  • and one to the next.

  • If you were to put an additional line between them,

  • would that break the code?

  • DAVID MALAN: No, not at all.

  • I can have as much whitespace vertically as I want if.

  • I want to add some comments, indeed, I can do that.

  • And why don't we do that, in fact, because the commenting syntax

  • for Python is a little different.

  • In C, we were in the habit of doing slash slash.

  • Python, it's actually a little more succinct.

  • You can just use a single hash.

  • And you can say gets x from user here.

  • I can say get y from user here.

  • And then I can say something like compare x and y.

  • And if I really wanted to, I could put comments in here.

  • That is perfectly fine.

  • But I'll just keep it more compact with this particular example.

  • So any questions on the conditional syntax or what we've just done here?

  • All right, let Me whip up another example,

  • this time doing some comparisons.

  • This time, let me create a file called answer.py,

  • which is reminiscent of a quick example we did weeks ago called answer.c.

  • Let me go ahead and from CS50 import getString.

  • And this time, let me go ahead and declare

  • a variable, C. And let me go ahead and get a string from the user--

  • whoops-- get a string from the user for their answer

  • to whatever question it is we care about.

  • And then if it's meant to be a yes/no answer, let's check for that.

  • If c equals equals y or c equals equals little y,

  • then go ahead and say, just for the sake of demonstration,

  • yes, because the human presumably meant that.

  • Elif c equals equals capital n or c equals equals little n,

  • then go ahead and print out, for instance, no.

  • So a short program, but what are some of the takeaways?

  • Well, what's different clearly among these lines, 5 through 8, versus C,

  • weeks ago?

  • Yeah.

  • AUDIENCE: For or you have to do--

  • DAVID MALAN: Yeah, none of those stupid vertical bars or the ampersand

  • ampersand.

  • If you want to do something or or and it together, just say and and

  • or, much like Scratch, actually, some weeks ago.

  • Notice, too-- how are we comparing strings?

  • Turns out Python does not have chars, per se.

  • C did have chars, single characters.

  • Python only has strings.

  • It has strings, ints, floats, and then some fancier things,

  • but it doesn't have chars.

  • So that's why I am deliberately using string.

  • But when we use strings in C, how did we compare two strings?

  • Str comp, right, because of the whole annoying pointer comparison thing.

  • Well, it turns out now in Python if you want

  • to compare two strings character by character by character,

  • equal equals is back.

  • And it does exactly what you expect it to do, even if it's a full word.

  • So if you're actually checking for, for instance, yes or yes from the human,

  • you can still use equal equals, as well, even though it's

  • more than now one character.

  • So that's a wonderful feature, too.

  • And it just makes the code more readable and a lot easier

  • to write right out of the gate.

  • All right, so now recall that in C we spent a little while,

  • as well as in Scratch, taking a look at a few examples about coughing,

  • of all things.

  • And in fact, in Python and C--

  • rather, in Scratch and in C--

  • we did a zero example that looked a little like this.

  • If you want to simulate the notion of Scratch the cat coughing,

  • you might, of course, do this.

  • And then if he's going to cough three times, you might do this.

  • And we ran this and it just did cough, cough, cough on the screen.

  • I won't bother running it because it will just do that.

  • But this was bad design we claimed weeks ago.

  • What was the gist of why this is bad design?

  • I mean, I literally copied and pasted.

  • And the odds are if you're ever doing that in CS50 or in programming

  • more generally, you're probably being a little lazy

  • and there's a better way to do it.

  • And it's a more maintainable way to do it.

  • So of course, we introduced weeks ago, both in Scratch and in C,

  • the ability to in cough one, this time, do a loop.

  • And I can do a loop slightly differently in Python and in C. But for i

  • in the range of 3, go ahead and print out cough.

  • So the syntax for the for loop is a little different.

  • But it's pretty straightforward, nonetheless,

  • once you remember that you use for, variable name, then

  • the preposition in, and then the word range with a parenthesis and its--

  • parentheses and the value you want to care about.

  • But then we saw an opportunity, recall, to actually abstract coughing away.

  • Coughing, at least in our textual form, is just the act of printing something.

  • So we introduced in version two some time ago,

  • the following approach in cough two.

  • I instead defined a function called cough that did the coughing for me.

  • And we've not seen this yet in Python.

  • So how do you define a function in Python called cough?

  • Put another way, how do you make your own custom puzzle piece,

  • just as we did in Scratch?

  • Well, you define it with def.

  • And then you have it do exactly what you want

  • it to do by just indenting the lines of code that belong to that function.

  • So there's no return value.

  • There's no need for an input at the moment.

  • But we do have the colon.

  • And we have the indentation.

  • No curly braces, nothing else.

  • How do I now use this function?

  • Well, here's where we have a few options stylistically in the program.

  • The simplest way to call this function would be quite simply like this.

  • Go ahead and for i in range 3, go ahead now and cough.

  • And this should look a little weird.

  • It looks, indeed, a little sloppy.

  • But let's see if it works.

  • So if I go ahead and run Python of coughtwo.py,

  • it seems to cough, cough, cough.

  • But I say this is a little weird because what am I

  • doing that's very different now from C?

  • There's no what?

  • There's no main function.

  • I just have some code right here on the left of the screen.

  • And yet, I do have a function here.

  • And in Python, this is OK.

  • Because you're using an interpreter and reading the file

  • top to bottom, left to right, you don't strictly need a function called main.

  • It's just going to interpret all of your code.

  • And when it's seen the definition of a function, OK.

  • It's going to say, OK, got it.

  • I now know what the verb cough means.

  • I will do this anytime I see it down here.

  • But we're going to run into a problem.

  • And if, indeed, I did what my first instinct was,

  • which was to put the logic, the main part of my program at the top

  • and to define cough down here, let's see what happens.

  • Let me zoom out.

  • Let me go ahead and rerun coughtwo.py.

  • And now we start to see the first of our error messages.

  • And they're going to look just as cryptic at first glance as is clang

  • and make were.

  • Arrested assured that help 50 can help with Python error messages, as well.

  • But let's just try to parse what I do understand. cough2.py, line two

  • in module whatever that is, name error.

  • Name cough is not defined.

  • So what's your gut here?

  • What is that really--

  • what's the explanation for that error?

  • Because cough is clearly defined--

  • literally with the define def verb--

  • right there on line four now.

  • What--

  • AUDIENCE: You're calling cough before it's defined.

  • DAVID MALAN: Yeah, I'm trying to call it before it's defined.

  • Python is trying to take me very literally.

  • And it's going to do top to bottom, left to right.

  • And if it doesn't see until the bottom something

  • it's supposed to be doing at the top, it's just not going to work.

  • So there is a solution to this and it starts to get a little ugly.

  • But it's a more generalized solution.

  • It turns out that even though main is not required in a Python program,

  • many programmers just create one nonetheless

  • to address this particular problem.

  • And they specifically do something like this--

  • def main-- and then below it they indent everything there.

  • And then you need one specific feature to solve this problem now.

  • I've now defined main and I've defined cough, which theoretically

  • solves this problem just as it did in C. There

  • is no notion of a prototype in Python.

  • That is not the solution to copy paste the name of the function up above.

  • But when I do this now, literally nothing happens.

  • But I did get rid of the error.

  • So just reason through this, perhaps.

  • Especially if you've never programmed Python before,

  • why might nothing now be happening?

  • AUDIENCE: Not calling main?

  • DAVID MALAN: I'm not calling main, yeah.

  • So whereas in C--

  • and frankly, in Java, C++, and a few other languages-- main is special.

  • It just gets called by default. In Python, main is not special.

  • I've chosen this name main just because so many other languages use it,

  • but it has no special significance.

  • If you want to call main, you have to do it yourself.

  • And so this is a little weird, admittedly.

  • But you can literally do this down here because your code will be executed top

  • to bottom, left to right.

  • By the time line 10 is reached, both main has been defined

  • and cough has been defined, which means you're good to go.

  • So if I now go down here and run Python of cough2, now it actually works.

  • Now, as an aside, this is not Pythonic, if you will.

  • Most people would actually do this if the name equals equals main,

  • then do this.

  • This is for lower level reasons that let me wave my hand out for today.

  • But long story short, the addition of this cryptic-looking line

  • solves other problems that we're just not going

  • to trip over this week and probably next.

  • So this is the common way to do it.

  • But if you just ignore that, the effect of this cryptic-looking code

  • is just to call main yourself at the very bottom of your file.

  • So when we start writing more interesting programs,

  • this is just going to become conventional.

  • If you want to start writing functions and so forth,

  • odds are you'll benefit by writing a main function

  • and putting more code in there.

  • So let's do one final example with cough that actually now parameterizes

  • the code, just as we did weeks ago in Scratch and C. This will be cough3.py.

  • Let me start as I did just a little bit ago.

  • But suppose I want to achieve this effect.

  • I want the computer to cough three times by passing in an input.

  • I now do need to modify cough to take an input.

  • And in C, I would have said something like int n.

  • But you don't have to specify data types in Python,

  • you just have to specify the parameter name or the argument name.

  • So that's nice and simple.

  • And now down in here, in cough is where I should probably

  • say for i in the range of 3, do this.

  • But this isn't quite right.

  • What fix do I want to make here?

  • Yeah.

  • Now I can just pass in n.

  • So range is just a function that takes an argument that I've

  • been hard coding as three just because.

  • But you can generalize it with n, as well.

  • So now again, per our discussion of abstraction weeks and weeks

  • ago, do we have a sort of beautiful version of coughing,

  • even though it's looking way more cryptic.

  • But by step by step by step did we get to the point

  • of having a main function that takes an abstraction, cough.

  • Do it this many times.

  • Now the implementation details are hidden in this custom puzzle piece,

  • if you will.

  • And the two lines at the bottom just kick off

  • the whole execution of the program.

  • But that's the only stuff that's really Python-specific now.

  • Yeah?

  • AUDIENCE: Can we use the cough function on line 11 [INAUDIBLE]??

  • DAVID MALAN: Could use the cough function on line 11?

  • Yes.

  • You could absolutely just do this, for instance, and get rid of main again.

  • It's just a convention.

  • Once you start writing more sophisticated programs with functions,

  • you should probably introduce main just to keep it tidy.

  • AUDIENCE: With the [INAUDIBLE].

  • DAVID MALAN: You could do that.

  • Then you're starting to be non-Pythonic.

  • Like, yes, you could do cough3 but people would look askew at you

  • because it's just not done that way.

  • That's what Pythonic means.

  • Yeah, other questions?

  • AUDIENCE: You need to have the [INAUDIBLE] come after the for i

  • in range n so that it knows what the cough is?

  • DAVID MALAN: Not in this case.

  • So the order now is OK because first Python is seeing here's

  • the definition of main.

  • OK, I got it.

  • And then it's saying, here is the definition of cough, OK, I got it.

  • But it's not actually calling those functions yet.

  • The Python errors are thrown only at what's called runtime,

  • the running of the program's time, which means only when main is called

  • does Python actually execute line 4 and then see,

  • ooh, I need to call a function called cough.

  • But that's OK because it saw it earlier when it first

  • read the file top to bottom.

  • So it matters when the functions are called,

  • not where they appear, per se, in the file, the order in which they're

  • called.

  • Other questions?

  • All right, yes?

  • AUDIENCE: I don't know where you [INAUDIBLE] from.

  • How do you define n as an integer?

  • DAVID MALAN: How did I define n as an integer?

  • This is what's nice about Python.

  • If you want a variable or a parameter, just

  • start using it without mentioning its data type.

  • So the fact that I put n in parentheses in this function

  • means, hey, Python, let this function take an input called n.

  • And it can actually be any data type-- int, float, string,

  • or even something else.

  • It's up to me to use it responsibly as a number

  • and to call it responsibly with a number.

  • Good question.

  • Yeah?

  • AUDIENCE: So it's possible for a variable to change type?

  • DAVID MALAN: It is, indeed, possible for a variable

  • to change type, a good observation.

  • So yes, Python is not as strongly-typed language, so to speak.

  • C is strongly-typed in that if you make something an int,

  • it is staying an int forever.

  • Python is loosely typed, whereby x can be an int initially.

  • But if you really want to turn it into a string, you can.

  • But the convention there would be, yes, you can do that, but don't do that.

  • So Python has the, frankly, the sort of arrogance

  • of being sort of an adult language.

  • Yes, you could do that, but just don't.

  • Why do we have to protect you from yourselves?

  • And so in that sense, you need to be a little more responsible about it.

  • But again, there are arguments both ways.

  • That induces potential bugs that C would catch for you.

  • And this is where humans start to disagree about the upsides

  • and downsides of languages, whether a language should be strongly or loosely

  • or not even typed at all.

  • A good observation.

  • So let's look at a paradigm that was super common in C

  • when we wanted to do something again and again

  • to see how it actually is a little differently done in Python now.

  • Let me go ahead and create a file called positive.py

  • and go ahead and write a program a little quickly here.

  • So from CS50, let me go ahead and import getInt,

  • so we can get integers from the user.

  • Let me go ahead and define a main function

  • that simply does i, which will be my variable, gets a positive int,

  • and asks the user, just as we did weeks ago,

  • if you'll recall, for a positive integer.

  • And then just goes ahead and very boringly prints it out.

  • So that's all this program does.

  • And let me go ahead and just from recollection--

  • though it's totally fine to copy/paste this cryptic-looking string,

  • we would just be remiss in not showing you how most people do this.

  • So if I do this, this is a complete program,

  • except for the fact that what does not exist yet?

  • Get positive int probably does not exist, just as it didn't in week one,

  • because we have to invent it ourselves.

  • Get int exists, but get positive int does not.

  • And just for demonstration's sake, let's try this.

  • Python of positive.py, notice we have name error get

  • positive int not defined.

  • OK, so we can fix that.

  • We can literally define, or def, it.

  • So get positive int.

  • It's going to take a prompt from the user,

  • just as it did weeks ago, the string that you want to show to him or her.

  • And now let me go ahead and get a positive integer.

  • What type of programming construct did we

  • use in C to do something again and again and again?

  • AUDIENCE: Loop.

  • DAVID MALAN: A loop, for sure, but more specifically,

  • to do something at least once and then maybe again

  • and again and again if they don't cooperate?

  • AUDIENCE: While.

  • DAVID MALAN: Do while.

  • No do while in Python.

  • So that handy feature for user input does not exist.

  • So that's fine.

  • We need to solve this just differently.

  • And honestly, in C, you could have solved that problem differently.

  • You don't need do while.

  • We could have taken it away from you.

  • C could take it away.

  • You could still solve every problem that we have in the past weeks

  • using a for loop or a while loop.

  • Do while just is a nice handy feature.

  • But we can simulate it.

  • And the Pythonic way of doing this is as follows.

  • Deliberately induce an infinite loop, because you

  • do want to loop potentially.

  • But the logic is going to be, give me an infinite loop

  • and I will break out of it when I'm ready to break out of it.

  • This would be the convention.

  • So while the following is true do this.

  • Go ahead and declare a variable called n.

  • Get an int from the user and pass in that same prompt.

  • So get int, we wrote-- the staff--

  • prompt is whatever I typed in up here.

  • So just copy/paste from the C version.

  • And then under what circumstances do I want to break out of this infinite loop

  • if the function is to be called to get positive int?

  • AUDIENCE: [INAUDIBLE]

  • DAVID MALAN: Yeah, so if n is greater than 0,

  • then I do have the keyword break still, just as I did in C.

  • I can break out of this loop.

  • And then once I do that, I can go ahead and just return n.

  • Or for that matter, I could condense this a little bit.

  • I could just return n immediately and tighten it just a little bit.

  • So multiple ways to do this.

  • Otherwise it's just going to loop and loop forever.

  • So let me go ahead now and run positive.py

  • through Python, positive integer like negative 1, maybe negative 2, 0, OK, 1.

  • And now it, indeed, co-operates.

  • So this is just a common paradigm.

  • This is the kind of thing when learning a new language that honestly

  • tends to hang people up initially.

  • You need to learn the JavaScript way of doing things.

  • You need to learn the Python way of doing things.

  • But then you start to notice these so-called design patterns.

  • Anytime in Python you want to do something again and again,

  • yes, you want to loop.

  • But if you want to do something definitely once and maybe again?

  • You still just use a loop, but you deliberately

  • induce, typically, an infinite loop, and just break out of it when you're ready.

  • So a very common approach.

  • So not everything translates literally from C back and forth.

  • Any questions then on that?

  • Yeah, in the back?

  • AUDIENCE: Is that something you just did with the while for loop,

  • is that [INAUDIBLE] initializing a variable called [INAUDIBLE]

  • to a negative number and then do while n is less than 0--

  • DAVID MALAN: Really good question.

  • Is this approach preferable to instead declaring, maybe

  • in here, a variable that is equal to some known value, like zero or whatnot,

  • and then updating it?

  • Short answer, yes, because your approach, while correct,

  • is not as well-designed, arguably because it's just not necessary.

  • And the Pythonic way, and really the well-designed way

  • to do most things would be use as few lines

  • as you can so long as it's still readable and understandable,

  • which I would argue this is once you're comfortable with the syntax.

  • But this does bring up an interesting point about one other topic in C. Scope

  • has now gone out the window, at least as we previously saw it.

  • Scope referred to where a variable lives.

  • And we defined it essentially casually between two curly braces,

  • the most recently opened curly braces.

  • Well, no curly braces anymore so it turns out that variables by default

  • have function scope here.

  • So when you declare n on line 9, you can use it in Python on line 10.

  • And you know what?

  • You can even use it on line 12, even though it was declared inside

  • of this loop higher up.

  • So once you declare a variable on this line,

  • you can use it anywhere on a subsequent line within that same function.

  • So in some sense, it's a little sloppy that you're allowed to do this.

  • But on the other hand, it's very convenient

  • because you don't have to deal with those things

  • like declaring the variable up here just to use it down here.

  • So it's one less thing to think about.

  • All right, let's take a look just a few examples from week two

  • wherein we introduced arrays and strings more generally

  • to see what has changed now, as well.

  • You'll recall that in week two, perhaps, we had an example about capitalization.

  • And let me go ahead and look at the third version of that,

  • capitalize too, but convert it to Python.

  • The purpose in life was to take input from the user

  • and just capitalize every character therein.

  • So if I type in my name in all lowercase,

  • it should come back as all uppercase.

  • So from the CS50 library, let me go ahead

  • and import getString so that I have some input from the user.

  • Then let me go ahead and just get a string from the user, like their name.

  • And then I want to go ahead and capitalize everything.

  • So let me go ahead and do this.

  • And this is a fancy feature.

  • In C I would have done a for int i is zero i less than strlen.

  • I mean, you perhaps remember the paradigm for iterating over a string.

  • Python is just so much more pleasant.

  • For c in s--

  • that will induce a loop over the string s, giving you access to every character

  • at a time, calling that variable c.

  • And so what is it I want to do, just as a preliminary step,

  • a baby step, if you will, let's just print out c, just to see what happens.

  • Let me go ahead down here and do Python of capitalize two.

  • Let me go ahead and type in my name, all lowercase.

  • All right, and why is it showing up vertically

  • like that, one character per line?

  • Yeah, you get the free line--

  • free new line this time.

  • So let's see how you can disable that.

  • It's stupid looking, honestly.

  • But you say end equals quote unquote, thereby revealing a new feature

  • of Python that C does not have.

  • It turns out that Python has not only positional arguments, as it's called,

  • whereby you just pass in arguments between commas.

  • That's what we've been doing in C.

  • But Python also has named arguments, whereby

  • you can specify the name of the argument,

  • then an equals sign, then the value.

  • And the power of named arguments, even though this is a tiny example,

  • means that you can sometimes pass in your arguments in any order.

  • You don't have to remember.

  • You don't have to pull up CS50 manual or the man pages

  • to remember what is the order of all these darn arguments.

  • You can pass them in in any order, but by specifying

  • the name of the argument, an equals sign, and its value.

  • And in Python 2, you can have optional arguments.

  • Obviously, in all of the examples thus far,

  • I have never typed the word end and an equals sign yet.

  • But what Python does support is default values for arguments.

  • And so if you look in the documentation for Python, this is equivalent--

  • this cryptic looking sequence-- this is equivalent to the default behavior,

  • which is to type none of that at all.

  • End implies, for the print function, that you should end every line

  • with that default character.

  • Therefore, if you want to override it, you

  • can just change it to the empty string, quote unquote.

  • So if I now run this again and run it through with my name,

  • now I get it like that, one character at a time.

  • But you can do weird things, like ha ha ha ha ha--

  • not that you would.

  • I don't know why I went with that.

  • But I mean, that does the exact same thing

  • because you're just changing the line ending.

  • So don't do that, but do something else like this with it, instead.

  • So suppose I want to now capitalize the first character.

  • It turns out that strings in Python are more powerful than strings

  • in C. In C, there is no string.

  • That was a lie.

  • It's just a sequence of characters as referenced by an address in memory.

  • In Python, a string is an actual object.

  • It's a data structure.

  • And if you think about C, we had structs toward the very end of our look

  • at C, nodes and structs and student structures and the like.

  • A string in Python is like this container inside of which

  • somewhere are all of those characters.

  • But in that container or structure is also built-in functions,

  • features of a string that you can just call.

  • So in C, we would have said something like toUpper

  • and then passed as input to a function called toUpper

  • the character that we care about.

  • Python kind of flips the logic around.

  • Strings come with built-in functionality that

  • allow you to operate on the given character automatically.

  • So in Python, the syntax is actually the character itself.

  • Use the dot notation because it's a structure.

  • And then you can literally do--

  • oops.

  • You can literally do upper.

  • So this is to say, built into the string type in Python

  • is a bunch of features, one of which is a function called upper.

  • And the syntax with which you call it is the name of the variable

  • or the name of the string dot name of the function open paren, close paren.

  • And that's just now the paradigm.

  • There's no C type library.

  • There's no to upper or to lower.

  • Those features now built into the strings themselves.

  • And this is an example of encapsulation, or more

  • generally, object oriented programming, something

  • you'll explore if you take a class like CS51 that

  • bakes into the data types itself all of the relevant functionality.

  • It does not relegate them to another library.

  • So if I clean this up by just moving the cursor to the next line,

  • now hopefully you'll indeed see David typed out in all caps, the same idea

  • as before.

  • What about this length of a string?

  • This one is pretty trivial, but if I go in here,

  • let me go ahead and create a file called str len of .py.

  • If I want to see the length of a string, from CS50 import getString,

  • just as we did before.

  • Let me go ahead and get a string for myself, like my name again.

  • And then here, if I want to print the length of the string, in Python--

  • in C, you would say strlen.

  • In Python, it's a little different.

  • You actually just say len for length.

  • So if I go ahead and run this through strlen--

  • strlen-- type in my name.

  • Hopefully I, indeed, see five.

  • And there's no notion that you need to care about the backslash zero

  • in order to terminate the string.

  • Yeah?

  • AUDIENCE: So this upper [INAUDIBLE]

  • DAVID MALAN: No, in fact.

  • So that's a really good observation.

  • Let's rewind and actually improve upon this

  • rather than just translate it from what was our comparable example in C. Let

  • me go ahead here and actually say, you know what?

  • S gets s upper.

  • And then let me just print s, perhaps.

  • Let's see what happens.

  • Let me go back here and run Python of capitalize 2.

  • Enter David.

  • And it operates on the whole string.

  • Good intuition.

  • And honestly, I don't need to do this.

  • I could just say upper here and really trim this down and do

  • Python of capitalize, type in my name.

  • That still works.

  • And if I really want to be fancy, I don't even need s at all.

  • I can take this, get rid of that, put this here, immediately call

  • upper on the user's input and whittle this down to one line, type in David,

  • and that, too, works.

  • So you just get lots and lots and lots of more expressiveness.

  • Good question.

  • So how do you even know that things like this exist?

  • Well, quick aside.

  • Google will truly be your friend in cases like this.

  • And you'll want to know at this point, there's different versions of Python.

  • The world is kind of holding out and is still

  • using, a lot of people, version 2 of Python, which is older by many years

  • now.

  • We are using version 3.

  • And this is where the world is going.

  • And indeed, Python 2 will be officially deprecated or phased out

  • in a couple of years, theoretically.

  • So when you Google, you just want to be mindful of this

  • so that you don't accidentally make your way to old tutorials, old documentation

  • and the like.

  • So let me go ahead and Google Python 3 string, or str, and upper,

  • just to see if I can get to the documentation.

  • Here you have a number of tutorials.

  • But if we focus down here, what you're generally going to want to look for,

  • at least for the official documentation, is docs.python.org.

  • You see in the URL it's version 3, and that's where we want to go.

  • So let me go ahead and click on this, common string operators.

  • And I will disclaim this--

  • I think, personally, Python's documentation

  • is not terribly newbie-friendly.

  • Like, it's written fairly arcanely and you kind of

  • have to really dig to understand certain things.

  • That's fine.

  • You'll get comfortable with it over time.

  • But if you're feeling a little overwhelmed by,

  • oh my God, I just want to know about upper, everyone feels this way too.

  • So control F or Command F is your friend, upper.

  • Let me go ahead and search for this.

  • And it's not actually on this page, is it?

  • String-- string methods.

  • Here we go.

  • String methods.

  • OK, so under string methods, let me go ahead and search for upper.

  • And down here, indeed, is the documentation.

  • So the convention will be the name of the data type in question--

  • str for string--

  • the name of the function here.

  • It would tell you in parentheses if it takes any arguments, but it doesn't.

  • And so it returns a copy of the string with all of the cased characters

  • converted to uppercase-- that just means the letters of the alphabet

  • essentially--

  • and then some additional documentation, and so forth.

  • It gets pretty low-level pretty quickly.

  • These are the equivalent of the man pages.

  • And there is no CS50 reference for Python.

  • That was just for C. So just realize that there's

  • this documentation available.

  • And you'll notice there's bunches of functions.

  • Strip is actually kind of a popular one, or L strip or R strip.

  • If you have whitespace at the beginning or end of a line

  • because your human got a little sloppy or there's new lines in a file,

  • you can call strip on a string and get rid of whitespace to the left

  • and right to kind of clean it up.

  • Terribly useful for things like data science applications

  • and analysis of data where you just kind of clean up messy data.

  • So many functions like that are built in for you.

  • All right, so let's take a look at a few other examples reminiscent of features

  • we did have in C, such as this one here.

  • Suppose I want to write a program that takes

  • command line arguments, much like resize,

  • with which we started today's story.

  • Let's not even use the CS50 library.

  • Let's do this.

  • If you want access to argv, recall in C it looked like this-- int,

  • argc, string, argv.

  • It looked like this in C.

  • Well, unfortunately, if you're not using main,

  • it would be nice if you can still use command line arguments.

  • And you can, but you have to import them.

  • It's a library that provides you with access.

  • From the sys or system library, you can import argv in Python.

  • And that gives you access to command line arguments as a feature.

  • Then you can say something like this.

  • If the length of argv--

  • which is just an array, recall, in C--

  • equals equals 2, then go ahead and say hello.

  • And let's go ahead and print out whatever the user typed in, argv 1.

  • Else, let's just by default say hello world.

  • So in English, what's happening?

  • If the user typed in a command line argument-- say, hello so-and-so.

  • Else if the human did not type in exactly one command line argument,

  • just say, by default, hello world.

  • So let me save this.

  • Do Python of argv1, or rather zero.

  • Enter.

  • OK, I didn't type in a word after the command.

  • So now let's do it again and I'll type in Brian's name.

  • Enter, hello Brian.

  • Let's do it again.

  • Veronica, enter.

  • Now, there's something that's not quite the same as C. How many words did I

  • just type at the prompt?

  • 3.

  • So that would suggest that this is argv 0, argv 1, and argv 2.

  • And yet, I'm printing argv 1, not argv 2.

  • So how do I think about this?

  • The code is correct, but it's different from C.

  • What does argv technically store when you run a command like these?

  • Remember, let's rewind.

  • In C, argv 0 stored what?

  • AUDIENCE: Name of the file.

  • DAVID MALAN: The name of the file or the name of the program you just ran.

  • Notice, though, the program I just ran is called Python.

  • And so you would think that argv 0 would have Python in it,

  • but it doesn't because notice if I'm printing argv 1,

  • you would think that's 0, 1.

  • You would think I just said hello argv 0 .py, But I didn't.

  • argv 1 clearly prints Veronica or Brian.

  • So it stands to reason argv 0 is this, which

  • means this is, like, argv negative 1.

  • Python is excluded from the argument vector, as it's called.

  • The command line arguments do not include the name of the interpreter.

  • But otherwise, it works exactly the same as it did once upon a time.

  • And notice, too, with this new for construct,

  • notice what you can do whenever you have access to an array of things.

  • If I go into argv1.py and import argv again, let me go ahead now

  • and just-- you know what?

  • For s in argv, go ahead and print out s.

  • It's really succinct.

  • What is this going to do?

  • Let me go ahead and do Python of argv1, enter.

  • And it just prints out the name of the file.

  • If I go ahead and say foo, bar, baz, three random words,

  • it prints out all of those words.

  • And so what's powerful about Python is honestly this for loop.

  • There's no int i, less than, plus plus, any of that.

  • You just say, give me a variable called s

  • and iterate over the entirety of the thing on the right, which is presumed,

  • in this case, to be an array.

  • You can be even more powerful than that.

  • If I-- just like in C weeks ago--

  • look at characters in these strings-- let me do argv2.py--

  • suppose that this iterate over each string in argv,

  • and then here iterate over each character in s, I can do for c in s

  • and now print out the character.

  • So now when I run this same command but on argv2.py,

  • notice what's going to happen.

  • Let me raise this a little bit.

  • Enter.

  • It prints every character from every word one at a time.

  • But it did so this time based on using these two for loops.

  • So what does this mean?

  • When you have an array, as we've called it,

  • you can iterate over everything in the array.

  • When you have a string, you can iterate over every character in the string.

  • And this is where Python just gets wonderfully

  • flexible to do this again and again.

  • All right, let's take a look at--

  • let's see-- compared strings already.

  • We copied strings.

  • Let's go ahead and do this in Python.

  • Recall that we ran into a fundamental limitation of C,

  • and it would seem programming, when we had example called swap

  • and no swap back in the day where I was just

  • trying to swap two values, x and y.

  • And recall that I hardcoded something like x is 1 and y is 2.

  • And the whole goal was simply to first say, x is such and such,

  • y is such and such.

  • Let me go ahead and make that a format string.

  • Then I wanted to print this again.

  • But somewhere in here, I wanted to swap x and y.

  • So to punctuate our sort of exploration of just what Python can do,

  • if you want to swap two variables, x and y, that's fine, just do it.

  • And it's this magical shell game that just works in Python.

  • Now, technically these are what are called tuples on the left.

  • It's a x comma y pair.

  • It's latitude comma longitude.

  • So there's an actual underlying mental model for what's going on here.

  • But in effect, you're literally switching them

  • and you don't need the temporary variable.

  • Python the language takes care of that for you.

  • All right, let's look at a more powerful feature

  • still, this time using what's actually called a list.

  • So a moment ago I was using argv 0, 1, 2, as our examples.

  • And I was calling them arrays.

  • They're not arrays anymore.

  • Python does not have arrays.

  • Python has lists.

  • And lists sounds reminiscent of linked lists.

  • And indeed, they are.

  • In Python, you have lists that are resizable.

  • You don't have to decide in advance how big they are or how small they are.

  • They will just grow and shrink for you just like a linked list will,

  • but you don't have to write the linked list yourself.

  • Yeah?

  • AUDIENCE: [INAUDIBLE]

  • DAVID MALAN: Sure.

  • AUDIENCE: [INAUDIBLE]

  • DAVID MALAN: Oh, sure.

  • Let me open that file up in argv1.

  • This one here?

  • AUDIENCE: No, it was, like, [INAUDIBLE].

  • DAVID MALAN: Oh, this one here.

  • AUDIENCE: Yeah.

  • [INAUDIBLE] bracket notation [INAUDIBLE]..

  • DAVID MALAN: Yes, you can still-- so argv, I called it an array,

  • but that was a white lie a moment ago.

  • It's actually a list, a linked list.

  • But whereas a linked list in C does not allow you to use square brackets,

  • you have to use a for loop or a while loop

  • to iterate over the whole thing to find what you're looking for, in Python,

  • if something is in a list, you can just use, yes, the square brackets

  • to get at that specific element.

  • AUDIENCE: Or I'm saying you could use the f right before--

  • DAVID MALAN: Oh, I could have, yes.

  • I didn't use the F, just because frankly it just gets ugly eventually.

  • But yes, I could have also done this to achieve the exact same effect.

  • It just starts to look cryptic.

  • OK, so let's actually introduce a list, which itself is a data type in Python,

  • as well as in languages like C++ and Java,

  • if some of you have that background, as well.

  • So here, in list.py, let me go ahead and do the following.

  • Let me first import from the CS50 library getInt

  • so that we can get some ints from the user.

  • Let me give myself an array, a.k.a.

  • now a list in Python.

  • So in C you can't really express quite this idea.

  • In Python, if you want a variable called numbers

  • and you want to initialize it to an empty list,

  • you just literally do open bracket, close bracket.

  • No number in between them.

  • And as before, no semi-colon.

  • Let's now do the following forever until I break out of this.

  • Let me go ahead and get a number from the user,

  • just by asking them for some number.

  • Then let me say, if not number, go ahead and break out of this.

  • This is going to, as an aside, just let me quit out

  • of this by hitting Control D as we discussed ever so briefly a while back.

  • But that's just a UI feature.

  • So this is what's kind of cool.

  • Suppose I want to implement the notion of checking

  • if the number the user's typed in is in the list already, and if so,

  • not add it.

  • I'm going to go ahead and do that.

  • But first, let's just do this--

  • numbers.append number.

  • And this is a new feature.

  • So what do I want to do here?

  • For number in numbers--

  • I'll explain this in a second--

  • let me go ahead and print number.

  • So what is this program aspiring to do?

  • At the very top, I'm importing getInt.

  • At the very top below that, I'm just giving myself an empty array,

  • now called a list, called numbers.

  • Then I do the following forever.

  • Go ahead and get the number from the user.

  • If he or she did not actually type in a number, just break out of this.

  • The program is done.

  • But here's the new feature.

  • Just as with strings, they are objects, so to speak.

  • They are data structures that have functions built in.

  • So do lists have functions built in.

  • There is literally a function inside of every Python list

  • called append that literally does that.

  • You call append and it appends whatever its input

  • is to whatever the list itself is.

  • So in C, you might have had to use realloc.

  • You might have had to add something to the end of the list.

  • None of that happens anymore.

  • Just at a high level, you say append this to the list

  • and let the language take care of it for you.

  • Then down here, left-aligned all the way at the end,

  • is just saying, for number in numbers.

  • Like, iterate over all of the numbers in the list and print out one at a time.

  • So let's try this.

  • Let me go down here and do Python of--

  • this is list.py-- and let me go ahead and type in a number like 13, 42, 50.

  • And I'm going to hit Control D, which means that's it, I'm done.

  • And there we see the three numbers.

  • It looks a little stupid because you know what?

  • I think I need a print here.

  • Let's fix this.

  • Let me rerun this.

  • 13, 42, 50, Control D, there we go.

  • One per line.

  • But what this program has is honestly kind of a bug, potentially.

  • Suppose I want unique numbers, now I have three 13s.

  • But I'd ideally just want one copy of every number for whatever reason.

  • I want uniqueness.

  • Well, notice how easily you can express that.

  • If my goal is to only conditionally add a number to the numbers list

  • if it's not already there, how would you do this in C?

  • You have an array called numbers and you want to first check

  • is a number in that array.

  • What would you do in English?

  • AUDIENCE: A for loop.

  • DAVID MALAN: A for loop, right?

  • You'd probably start at the left, iterate over

  • the whole array looking for the number and then conclude true or false,

  • it's in there.

  • It's not hard but it's a little annoying.

  • You have to write more code, a couple of lines, four lines for a for loop.

  • In Python, just say what you mean.

  • If number not in numbers, append it.

  • And it reads much more like English.

  • At the end of the day, some human wrote the for loop that does that operation.

  • But we, the more modern programmers, can just now say, if number not in numbers,

  • append it.

  • And so it is meant to read more English-like.

  • So let's try this now.

  • 13, 13, 50, done.

  • Now I just get one copy of the 13 because it's checking that for me.

  • Now, running time is still an issue.

  • Consider this, theoretically, you're still

  • wasting some time looking for a number because someone wrote

  • code that's probably linear search.

  • Maybe it's binary search if it's sorted.

  • But someone wrote that code.

  • But the point is, with these higher level languages,

  • these more modern languages like Python, that is not our problem, necessarily.

  • It only becomes our problem if the program is just

  • too slow for some reason and we really need to get into the weeds of why.

  • All right, let's look at a final feature syntactically

  • before we try this to a more generalized problem.

  • Let me go ahead and save a file called struct0.py,

  • which is reminiscent of struct0.c a few weeks back.

  • And let me go ahead and from the CS50 library import getString.

  • Let me go ahead and give myself an array this time called students that's empty,

  • or a list called students.

  • And then let me just get three students for the sake of discussion.

  • So for i in range 3, that just iterates three times,

  • let me go ahead and ask the user for their name.

  • So getString, ask them for their name.

  • Then let me go ahead and ask them for their dorm

  • and go ahead and get string for dorm.

  • And then that's enough.

  • Let me now go ahead and append the student to my list.

  • So students dot append.

  • But I don't really have a student structure yet.

  • Now, there's many ways we can solve this, but let

  • me propose the simplest one.

  • It turns out in Python you can declare hash tables so wonderfully simply.

  • A hash table is just a collection of key value pairs.

  • And I would argue at this point in my example I have keys and values.

  • I have a name which is a key and the value, like David or whatever,

  • another key called dorm, and then a value which is like Matthews

  • or wherever.

  • And so keys and values.

  • So it would be kind of nice if I could create for myself a hash table--

  • or even a try, for that matter-- that allows me to store this data.

  • Well, it turns out in Python, I can do just that.

  • I can go ahead and create an object called student

  • using curly bracket notation.

  • And you can literally do this.

  • The name shall be one key.

  • And now it's going to take on that value.

  • Dorm shall be another key and it's going to take on that value.

  • So I could call this anything I want-- x and y

  • and have the values David and Matthews or whatever it is I'm going to type in.

  • But if you want a very generalized data structure

  • that isn't just a list of values from left to right, but has metadata--

  • a key, or if you think of a spreadsheet, a column name

  • called name and a column name called dorm, each of which has values--

  • you just use curly braces.

  • And you put the keys in quotes and then a colon.

  • And then if you've got multiple keys, you just put a comma.

  • So it's a little cryptic, but this is just like a container, a hash table,

  • that contains words and values.

  • Now, in p set 4, when you implemented speller,

  • you actually just said yes or no, is the word in the dictionary?

  • But you certainly could have stored more information

  • instead of just Boolean values.

  • You just tended to not need to do that.

  • So what does this mean for me?

  • At this point in the story, I have an object,

  • as it's called in Python, that stores these keys and these values.

  • So if later on I want to iterate over them, I can do this.

  • For student in-- oh, you have to append it--

  • so student.append student.

  • Let's add the student to the list.

  • So for student in students, which is just how

  • you iterate over every one of the things in that list.

  • Let me just go ahead and say a sentence like, I want to say so and so

  • is in this dorm.

  • So how do express that?

  • Well, so and so, I need to get access to the student's name.

  • And the way I can do this is as follows.

  • I could say, let's go ahead and say curly brace student bracket

  • name close bracket.

  • And then here, I can go ahead and say--

  • oops, let me put quotes in here--

  • and then here I can say student bracket quote unquote dorm.

  • So this is admittedly the most cryptic example we've done thus far.

  • But let's tease it apart as a format string.

  • So if I zoom in on this, what am I doing?

  • The curly braces and the f just means format this string.

  • So you can ignore the curly braces as part of our story from earlier.

  • Student is the name of the variable in the for loop.

  • So it's the current student.

  • The square brackets are new.

  • In C, the only time we used square brackets was in what context?

  • AUDIENCE: Arrays.

  • DAVID MALAN: Arrays.

  • And what did we always put in those square brackets?

  • A number.

  • Yeah, so 0, 1, 2.

  • You can index into an array.

  • What's cool about an object--

  • or a hash table more generally, as we're now defining it--

  • is you can index into the variable using not numbers, but words.

  • So you could think of student as being like a list or an array

  • with two values-- name and dorm.

  • But it's nice to be able to refer to those not as zero and one

  • or some stupid arbitrary number, but rather by keys--

  • name and dorm.

  • So this syntax here, though cryptic, says go inside the student

  • object and get me the value of the key called name.

  • And this says the same thing about dorm.

  • So an object in Python--

  • or more generally a hash table-- allows you to associate keys with values.

  • And this is quite simply the syntax you use for that.

  • So let me go ahead and run this.

  • Struct0.py, type in my name.

  • Let's say Matthews.

  • Let's do, like, Veronica, Weld.

  • Let's do Brian.

  • Brian, where did you live?

  • AUDIENCE: Which year?

  • DAVID MALAN: Freshman year.

  • AUDIENCE: Pennypacker.

  • DAVID MALAN: Pennypacker, enter.

  • Not that these specifics really matter, but now we

  • have expressed all of these sentences.

  • So the short of it now is we didn't quite see this in C,

  • but we did see a hint of this when we implemented our own hash

  • table in C so that we can actually access keys and values arbitrarily.

  • So let's do a-- actually, let me pause here for any questions

  • before we bring back Mario.

  • All right.

  • So let's now not just do examples for the sake of demonstration,

  • but rewind to an old friend that we've seen a few times

  • and just look at a few different screens.

  • So in Super Mario Bros, running left to right

  • you might recall or have seen that there's stuff like this in the sky.

  • And Mario's supposed to run under it and jump up

  • and he gets coins or whatever by jumping up and hitting these question marks.

  • So this is mostly a very contrived way of saying,

  • suppose we want to print out four question

  • marks on the screen just like Super Mario Bros, how could we do it?

  • It's going to be a little black and white, a little textual,

  • but how do I print out four question marks?

  • Well, let me go over here and let me create a file called,

  • let's say, Mario0.py.

  • And how do I do this?

  • What's the simplest way to do this, print four question marks?

  • OK, I heard print.

  • OK, four question marks.

  • Very good.

  • So let's go ahead and run Mario0.

  • Correct, that's right.

  • So this is not bad.

  • It's one string, not a huge deal.

  • Let's do it at least with a loop, as we've been often doing,

  • just to improve the design, even though this

  • is a very tiny, tiny, tiny example.

  • So Mario1.py, let's go ahead and print this out with a loop, for instance.

  • So how do I do this?

  • How do I print four question marks, but one at a time?

  • For i in range four, print, question mark.

  • Save, all right.

  • So Python, Mario.

  • Does anyone want to yell out, no, don't do that?

  • OK, thanks.

  • That's great.

  • All right, so why did you not want me to do that?

  • Because they're all vertical.

  • So we did have a fix for this how.

  • Do I tell print, don't end your lines with the default new line?

  • So and equals just quote unquote to override the default backslash n value.

  • So now I can rerun this.

  • All right, it's a little buggy.

  • So how can I fix this and only put a newline after the last one?

  • AUDIENCE: [INAUDIBLE]

  • DAVID MALAN: Yeah, honestly, just do print nothing.

  • And that will have the effect of printing a new line for free.

  • So let's do this.

  • OK.

  • Now we've got a good example there.

  • All right, so it turns out we actually printed along the way

  • a separate example, which looked like this, albeit with four blocks.

  • So we won't-- let's go ahead and do this now vertically,

  • not with question marks, but with hashes like bricks.

  • So if we want to print out those three hashes,

  • allow me to draw some inspiration from this and let's say in Mario2.py,

  • let me go ahead and just say for i in range of three,

  • go ahead and print out just one block.

  • And as you've been advising, just do this--

  • or rather, no, let's use the default to print out

  • a vertical bar of three blocks.

  • So this is Mario2.py.

  • And now we've done something reminiscent of that.

  • But now things get a little interesting if we go underground.

  • And let's focus on this square.

  • So three by three, for instance, because we've not quite

  • seen something like this.

  • So in our last example here, let's see.

  • Could we get maybe a brave volunteer to come on up, tie some of these ideas

  • together?

  • Is that a hand back there?

  • Come on down.

  • So this will be Mario3.py, the goal of which is to print a brick,

  • a bigger brick--

  • it's like 3 by 3-- hello again.

  • ANDREA: Hello.

  • DAVID MALAN: For the audience, what's your name?

  • ANDREA: Andrea.

  • DAVID MALAN: Andrea, nice to see you.

  • ANDREA: Nice to see you.

  • DAVID MALAN: All right, so the goal at hand

  • is to print a three by three grid of just

  • hashes reminiscent of those bricks.

  • All right, you're in charge.

  • ANDREA: All right.

  • Should I do, like, a loop or something?

  • DAVID MALAN: Whatever gets the job done.

  • All right, for.

  • OK, good.

  • OK, interesting.

  • OK, print, quote unquote, print, yeah, OK.

  • ANDREA: OK.

  • Oh, right.

  • DAVID MALAN: Key detail.

  • ANDREA: What was it, a hash?

  • DAVID MALAN: A hash is fine, yeah.

  • ANDREA: OK.

  • DAVID MALAN: All right.

  • And before we do this, does everyone want her to run this program

  • and be correct?

  • AUDIENCE: Don't do it.

  • DAVID MALAN: No, why?

  • Someone who claims no, what?

  • What's your concern?

  • AUDIENCE: N equals-- it'll do it [INAUDIBLE]

  • DAVID MALAN: Good, OK.

  • So you fixed that.

  • Good.

  • Any other concerns?

  • Yeah?

  • AUDIENCE: [INAUDIBLE]

  • DAVID MALAN: OK.

  • Is it going to go up and down?

  • Well, let's see.

  • Can you walk us through verbally-- do we have--

  • can you walk us through what the program does?

  • [LAUGHTER]

  • ANDREA: For i in range 3, so this will happen three times, then j

  • in range three, the next thing will also happen three times.

  • So we print a hash.

  • And then we another hash and another hash

  • because the end is the quotation marks.

  • DAVID MALAN: OK.

  • ANDREA: And then that happens and then we print a new line.

  • And then it should execute that three times.

  • DAVID MALAN: All right.

  • What do you think?

  • Do you-- the duck is convinced.

  • All right, why don't you go ahead and save the file.

  • Let's try.

  • No harm in trying, so right or wrong, let's see.

  • This is called Mario3.py, and I think we have round of applause if we could.

  • Very nicely done.

  • All right.

  • So let's-- and if you'd like one more.

  • So let's take a look at one final example,

  • coming full circle from where we began.

  • We of course looked at resize.

  • And let's open that up, just to see how I got away with writing so little code

  • and actually getting that job done.

  • So in resize.py, which is where we began,

  • notice that I had a few lines that hopefully look a little more familiar

  • now.

  • But we didn't exactly introduce all of these features ourselves.

  • So it turns out in line one and line two we have

  • one unfamiliar and one familiar line.

  • Line two just gives us access to a command line arguments, which

  • we needed for resizing the bitmap.

  • Line one is where a lot of the power is coming from.

  • It turns out there's a library in Python called pillow

  • that you can install by typing a certain command at your terminal.

  • It doesn't necessarily come with your Mac or PC.

  • You have to download it and install it with a command.

  • And then if you read its documentation, it

  • will say, from pill for pillow import image.

  • Now, that's not a specific image.

  • That's the name of a library called the image

  • library that comes with that software that someone freely made available.

  • So that's just saying, give me access to an image-related library.

  • And undoubtedly, there could exist similar things in C. But we of course

  • did things very hands-on low-level.

  • All right, if the length of argv is not 4, yell at the user with the usage.

  • And that's just if they don't cooperate by typing in as they should, this.

  • It's a little more verbose now because we have Python

  • and we have the file extension.

  • But we could technically clean that up if we really wanted.

  • Lines 7, 8, and 9, there's nothing really new there.

  • I'm just declaring three variables implicitly typed.

  • I don't have to bother saying int or string.

  • I'm accessing argv 1, 2, and 3, which is 1, 2, and 3.

  • And then I'm doing one thing line 7.

  • What is line 7 doing that's important?

  • AUDIENCE: [INAUDIBLE]

  • DAVID MALAN: I'm changing the argument from what is technically

  • a string by default-- because indeed, it came from the human hands

  • at a keyboard-- and converting it into a number.

  • Now, as an aside, if the user does not provide a number like 2 or 10,

  • this code could break.

  • To be fair, I should really have some error checking

  • to make sure if the user typed in hello and not 2 or 10,

  • I need to catch that error.

  • So I'm being a little sloppy.

  • But it was really meant to demonstrate succinct code.

  • So now we have infile and outfile defined exactly as before.

  • So we have just three lines left that actually implement most of the magic.

  • Yeah.

  • AUDIENCE: [INAUDIBLE]

  • DAVID MALAN: Wait, say the last part again.

  • AUDIENCE: [INAUDIBLE]

  • DAVID MALAN: Yes.

  • AUDIENCE: There was almost [INAUDIBLE]

  • DAVID MALAN: Good observation.

  • So this is not just converting the user's input to the equivalent ASCII

  • value because that's not what we want.

  • This int used here is actually converting it

  • as via a2i, a function that you've probably used a couple of weeks ago,

  • it's just named a little more succinctly.

  • There is a function via which you could convert a character or a string

  • to its ASCII equivalent.

  • But that's not what's going on here.

  • It does the more intuitive turn this into an integer

  • without using a cryptically named function like a2i.

  • So let's scroll down just a little further to these last few lines

  • and see what's going on.

  • Some of them you would only know how to do from having

  • read the documentation just as we did.

  • This says give me a variable called in image.

  • Could have called it anything.

  • I'm just trying to be consistent with in file.

  • This says, use the image library.

  • Use its open function that comes with it.

  • So image is some kind of structure, inside of which

  • is some useful image-related functionality.

  • So call its open function on the name of the file,

  • then go ahead and extract its height and width.

  • So turns out this is another tuple, if you will.

  • Tuples, again, are like x comma y, latitude comma longitude.

  • You'd only know that it is a tuple from the documentation.

  • So when I say width comma height, this is taking what's technically a list

  • of size two-- or really, a tuple--

  • and it's just extracting for me the width and the height.

  • But let me wave my hands at that particular syntax.

  • The rest of this just says the following.

  • Give me a new variable called out image.

  • Call the input image's resize function, another piece of functionality

  • built into it, just like open, and change it

  • by this width and this height-- the original width times n,

  • the original height times n.

  • No padding manipulation, that's all the responsibility of the library.

  • Some other human dealt with all of that for us.

  • And this last line, perhaps not surprisingly,

  • saves the output image to that file name.

  • So in just, what, 15 lines of code and fewer

  • if we get rid of some of the whitespace can you

  • implement the entirety of resize.

  • But really focusing on the logic of the problem,

  • I want to take an input from the user.

  • I want to scale it up by a factor of n.

  • And I want to save out the file.

  • That's what you care about.

  • You don't necessarily care about getting into the weeds of exactly what it

  • was you had to do when you did it in C.

  • So let's do one final example here.

  • You'll recall from problem set four you implemented your own spell checker.

  • And odds are you did a try or a hash table or the like.

  • And it turns out that is non-trivial, certainly in C.

  • And it's non-trivial certainly for the first time in any language.

  • But let me take a stab at doing this now in Python.

  • Let me go into source 6 where I have a speller example.

  • And notice that in this folder today I've brought a few files with me.

  • So I've brought a copy of the dictionaries

  • from p set four, a copy of the text files, like la-la land and the like

  • in text.

  • And then I brought two files-- dictionary.py and speller.py--

  • the latter of which is an implementation of speller.c in Python.

  • And I'm not going to pull that one up because we wrote that one entirely

  • for you.

  • But let me go ahead and write, for instance, just my own dictionary.

  • So dictionary.py is the analog of dictionary.c.

  • And let's go ahead and set this up.

  • Let me go ahead and create this file in a separate folder

  • for now, so dictionary.py.

  • And there's a few functions in dictionary.c

  • which we should probably get around to implementing.

  • What are those functions?

  • AUDIENCE: Load.

  • DAVID MALAN: Load was one, and load takes

  • the name of a file or a dictionary.

  • So let's do this.

  • And I'll just say to do.

  • Come back to that.

  • What other functions were in dictionary.c?

  • Check, so def check.

  • And what did check take as an input?

  • A word, yep.

  • So we'll come back to this and just come back to that to do.

  • What other functions?

  • AUDIENCE: Size.

  • DAVID MALAN: Size was one, so def size.

  • This did not take input, but it just returned the size of the structure.

  • So we'll come back to that.

  • And lastly?

  • AUDIENCE: Unload.

  • DAVID MALAN: OK, so unload.

  • All right, so this is the Python version of the distribution code

  • for speller for your dictionary file.

  • So unload also didn't take an argument.

  • So that's something for us to do, too.

  • So what's the gist of making a spell checker?

  • You are loading words in your load function from a dictionary file.

  • And the goal is to load those somehow into memory.

  • You had a design decision for the p set in C,

  • where you could make a hash table or a try

  • or even a linked list or even an array.

  • But odds are the first of those two were probably more efficient.

  • So it turns out that in Python, you have the ability

  • to store words pretty readily in any number of data structures.

  • You have not just ints and floats and strings,

  • but you clearly have lists, as we've seen.

  • We call them objects or hashes, hash tables.

  • And there's other things, too, even called

  • sets, where a set is kind of just a collection of words

  • which would be very nicely searchable.

  • And so you know what?

  • If I want to ultimately load some words, let

  • me give myself a global variable called words

  • and just initialize it to an empty set.

  • So I have a global variable called words and nothing is in it just yet.

  • But it's a set of words.

  • How do I go about loading words into that dictionary?

  • Well, let's go ahead and implement load here.

  • So let me go ahead and declare a variable called file and open

  • this dictionary in read mode, just as in C.

  • And then how do I integrate over the lines in a file?

  • We've not seen that.

  • But I do know how to iterate over the strings in an array

  • and the characters in a string.

  • So let me go with my instinct for line in file.

  • Indeed, this will do exactly what you want it to do.

  • Then let me go ahead and add to my words data structure the following line.

  • And then let me close the file.

  • And then let me just say return true because all is well.

  • Done.

  • All right, so I'm cutting a few corners, technically.

  • Let me use that function I alluded to earlier.

  • Let me go ahead and call r strip and strip off

  • the new line because in the file, technically,

  • when you're reading in those words, every line ends with a backslash zero.

  • That's now part of the word.

  • So a minor correction there that I'm stripping off the line.

  • But that's it for load.

  • How do I now check if a given word is in that set?

  • Well, I can just say, if word in words return true.

  • Else, return false.

  • Done with check.

  • How do I return the size of this data structure?

  • How about I just return the length of that structure, words, and then

  • unload--

  • heck, Python's doing this all for me--

  • done.

  • Let me shrink this.

  • And you know what?

  • This is a little verbose.

  • I don't actually need to do this if else.

  • I could just return word in words and that will return a Boolean for me.

  • And honestly, if I want to lower case it, that's easy.

  • I can just do this and take care of that.

  • Now it's even better.

  • That's p set 4.

  • Excited?

  • Wish we had done this in C?

  • So what is the whole point of all of this,

  • because the goal wasn't to create sort of great angst and wonder now.

  • But the whole point of having introduced C over these past few weeks is to,

  • one, none of this now do you take for granted.

  • I mean, you might be longing for having implemented this in Python.

  • And you might have had to read some documentation

  • and figure out the various syntax.

  • But my God.

  • We whittled down what probably took most of you hours into just seconds

  • once you're more comfortable with the language.

  • But also, to our very earliest point today,

  • once you have the right language and the right tool for the job.

  • Now, it's not to say that this is perfect, because in fact,

  • let's go ahead and do some tests.

  • Let me go into my terminal window here.

  • And I actually brought my own solution in my C folder here.

  • Let's see.

  • I have my own code to speller implemented in C here.

  • And let me go ahead and run a test.

  • Let me go ahead and run speller on, say, the text Shakespeare.

  • That's a pretty big input.

  • Let's go ahead and hit Enter.

  • And this is my spell checker running.

  • And all the words are outputting.

  • And the time total to run speller in C was, say, 0.9 seconds.

  • So that's actually pretty good.

  • In a second window, let me go up here in another terminal window.

  • And let me go into today's code and into the speller folder where I have

  • a Python version that I'm going to run as follows-- speller.py--

  • let me go ahead and run it on Shakespeare.

  • So we've not looked at speller.py.

  • But it is essentially line for line a port, a translation, from C to Python.

  • But you're welcome to look at that online.

  • And it's using my dictionary.py file.

  • Let me go ahead and run that.

  • It's running through all the words.

  • Top is Python, bottom is C. Here we go.

  • Here we go.

  • Here we go.

  • Now, this is a bit misleading because again, the internet is the way.

  • We're using a web-based IDE, and so it's funny that that appears so many times.

  • And you'll see it's not 10, 20 seconds, however long that was.

  • That was just the internet being slow.

  • And all we're timing is your functions in both C and Python.

  • But what's the takeaway between Python and C?

  • Same inputs.

  • What do you see?

  • Yeah?

  • AUDIENCE: Be more concise [INAUDIBLE].

  • DAVID MALAN: Yeah, I wouldn't say concise.

  • That's more aesthetic.

  • It's more--

  • AUDIENCE: Specific [INAUDIBLE].

  • DAVID MALAN: Well, not even that, I think.

  • These are correct.

  • Both of them are correct.

  • All the important numbers at the top are identical.

  • But what is clearly different, though?

  • It's slower.

  • So Python seems to be slower, right?

  • It takes in total-- if we just look at two numbers--

  • 1.55 seconds in Python, if you ignore the internet speed

  • and just look at the code performance, versus 0.9.

  • So it's almost twice as slow as C. So what's the takeaway there?

  • Well, yes, it took me, what, 10, 20, 30 seconds to write the code.

  • But it's taking me twice as long to run it.

  • Now, not a big deal, of course, when we're

  • talking a few seconds here and there.

  • But if this were a big data set that you're analyzing for some project

  • or for work or for any kind of analysis project and the data is much larger

  • than even this-- especially in the medical field or the like--

  • maybe you don't want to use Python.

  • Sure, you can bang out the code in just a few minutes, maybe a few hours.

  • But once you run it, damn, it's slower than using something like C.

  • Whereas in C, might take you more time upfront.

  • And you might not even have the comfort with C

  • anymore so it's going to take an even longer because you have to go relearn

  • the language.

  • But when you run it, wow, it runs twice as fast.

  • You therefore need less RAM, potentially,

  • less hardware or less expensive hardware because you can get away with more.

  • So again, this theme we keep seeing in data structures and algorithms

  • is trade-offs.

  • Like, developer time is a resource and it is wonderful that I

  • and now you would be able to write code so much more quickly.

  • But you do have to pay a price somewhere.

  • And there's clearly a price with Python.

  • And it's not because Python is poorly implemented.

  • But what is the fundamental difference between the paradigm

  • of programming in C versus in Python as we've seen it today?

  • What's different?

  • Yeah?

  • AUDIENCE: [INAUDIBLE] line by line, whereas C, it essentially--

  • [INAUDIBLE] optimize running it, it will run [INAUDIBLE]..

  • DAVID MALAN: Indeed.

  • And let me flip it around.

  • So with C, you're compiling down to zeros and ones.

  • And that compiler is super smart.

  • And it's going to move things around in memory.

  • It's going to talk the computer's native language of zeros and ones.

  • Python is, indeed, reading your code, by contrast, line by line, top to bottom,

  • left to right.

  • And even though technically underneath the hood there is a compilation step,

  • there is nonetheless some overhead involved.

  • The mere fact that we're no longer running clang and then

  • getting 0's and 1's or running make and getting zeros and ones, that's great.

  • But we have to pay the price somewhere.

  • So this is going to be thematic.

  • Like, there is no holy grail among languages or tools or techniques.

  • There's going to be trade-offs among your comfort, your familiarity

  • or recollection of a language, how easy it is to use,

  • how succinctly you can type it, and then how efficiently you can actually

  • run it on the screen.

  • And with C, hopefully now-- we will not write any more C-code--

  • you have an appreciation in Python of when you create a hash--

  • or a list, rather--

  • or if you create a set or a hash table or the like, what you're really

  • getting access to is someone else's implementation of p

  • set four and p set three and p set two and p set one, in some form,

  • but now exposed to you in a more powerful and more modern language.

  • So let's end there officially today.

  • And next week, we'll do the same thing, but in the context of web programming.

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B1 中級

CS50 2018 - リーディング6 - Python (CS50 2018 - Lecture 6 - Python)

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    林宜悉 に公開 2021 年 01 月 14 日
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