This course is an introduction to the basic concepts of programming languages, with a strong emphasis on functional programming. The course uses the languages ML, Racket, and Ruby as vehicles for teaching the concepts, but the real intent is to teach enough about how any language “fits together” to make you more effective programming in any language -- and in learning new ones. This course is neither particularly theoretical nor just about programming specifics -- it will give you a framework for understanding how to use language constructs effectively and how to design correct and elegant programs. By using different languages, you will learn to think more deeply than in terms of the particular syntax of one language. The emphasis on functional programming is essential for learning how to write robust, reusable, composable, and elegant programs. Indeed, many of the most important ideas in modern languages have their roots in functional programming. Get ready to learn a fresh and beautiful way to look at software and how to have fun building it. The course assumes some prior experience with programming, as described in more detail in the first module. The course is divided into three Coursera courses: Part A, Part B, and Part C. As explained in more detail in the first module of Part A, the overall course is a substantial amount of challenging material, so the three-part format provides two intermediate milestones and opportunities for a pause before continuing. The three parts are designed to be completed in order and set up to motivate you to continue through to the end of Part C. The three parts are not quite equal in length: Part A is almost as substantial as Part B and Part C combined. Week 1 of Part A has a more detailed list of topics for all three parts of the course, but it is expected that most course participants will not (yet!) know what all these topics mean.
Pieces of a Language
Loading...
From the course by University of Washington
Programming Languages, Part A
796 ratings
From the lesson
Section 1 and Homework 1
It's time to dive in! Start with a careful reading of the "Section 1 Welcome Message" and go from there.
Meet the Instructors
Dan GrossmanProfessor
Computer Science & Engineering
[SOUND] I thought I would finish up this section by taking a huge step back, and
as we've learned a bunch of ML already think about, is this the important stuff?
Is this how you learn a programming language?
And so I want to focus for just a minute on what does it take to learn a
programming language, and which part of that are we focusing on in this course?
So I like to think of it in terms of five different things.
If you want to learn a programming language and make yourself a better
programmer, you need to know the syntax. How do you write the language constructs?
If you don't know the syntax, you're not going to be able to write down programs.
I understand that, but you also need to know the semantics.
What are the type checking rules and evaluation rules?
If you don't know what programs mean, you're trying to write down different
things and hope to get the right answer. And that's why we keep focusing on what
do these concerts mean, what are the actual rules so we can reason about our
programs correctly. Something we haven't emphasized quite as
much is that you need so far at least is you need programming idioms.
It's not enough to know that there's an if then else expression that works in a
certain way you need to recognize when and if then else expression is the right
thing to use. We talked a little bit about the idiom of
using nested function bindings in order to have private helper functions that
couldn't be used somewhere else. That's different than just the semantics
of let expressions and function bindings. It's about representing, recognizing
typical patterns of use for certain features.
And then there's these other two libraries and tools.
So what facilities does the language provide to you that let's you do things
you either couldn't do on your own or would have to reimplement a lot of code
that somebody else has already provided for you?
So an example of a library that usually has to be provided for you is some way to
read and write files. If a language doesn't give you that on
some level, you're not going to be able to implement it yourself because you need
some way to access the file system. On the other hand, libraries for things
like data structures like trees or hash tables or lists are things that you
actually could define on your own. So far in ML we've used the lists that
have been provided to us, but we're going to learn enough features of ML to
know that we didn't need that, that we could have defined our own.
And then, finally, tools. These are things that language
implementations give you to make your job easier.
Maybe it's a REPL. Maybe it's something that helps you
format your code well. Maybe some of you have used debuggers in
other languages. I like to emphasize that tools are not
actually part of the language. There's something provided by an
implementation of the language, or just as a separate tool.
And as valuable as they are, they are separate from the language itself.
Okay. So these are five separate issues,
and in practice, if you want to be an effective programmer, you need to get
good at all five of these things, learning syntax, semantics, idioms, new
libraries, and tools. And I would like you to be good about
keeping these ideas separate. People often confuse them.
Oh man, it's like a pet peeve of mine when someone says, oh, I like the ML
language because it has a REPL. There is nothing to do with the ML
language that has a REPL. That's a tool that's provided by a
particular implementation of the language.
And it's good to keep those ideas separate in your head.
Okay so bringing it back to this course. This course focuses a lot on two and
three, on the semantics and the idioms. And I want to justify that for you so
that you continue on the course and understand why we're focusing on that.
I tend to not focus on syntax a lot, because as much as you have to know it,
it's usually not particularly interesting.
If you want to study American History you really need to know the American Civil
War ended in 1865, but that is not the interesting part.
That's the basic stuff that gets you to actually reason about theories and ideas,
and in our case, semantics. The other reason I usually am dismissive
toward syntax is that people obsess over subjective preferences.
And I am not going to sit here and tell you that this syntax is good, and that
syntax is bad. I'm not an expert of syntax any more than
you are. I do understand semantics, and I want to
teach that to you, using syntax only as necessary.
As far as libraries and tools they're really crucial,
but you're always going to have to learn new ones okay.
I'd rather teach you how to think about every programming language.
And the fact that we happen to have a REPL for ML, or some other language has a
debugger. There's good libraries for writing Red
programs, is really not our focus. And I truly believe that if you get good
at learn semantics and idioms of programming languages,
it actually makes you better at learning libraries and tools.
Okay, because it helps you say, oh how does this library work?
What these, these methods are functions that are being provided to me, what is
their semantics, and how are they typically used?
The same mental skills, intellectual tools you use for learning a language
become incredibly valuable for learning libraries.
We're not going to learn libraries, we're going to focus on the languages
themselves, and this has the unfortunate effect that it makes the programming
languages and the programs we write sometimes seem a little silly.
Right, here we are, we've watched all these videos and we know how to append
two lists, or take the max number from a list of numbers.
I know that real programming doesn't look like that, but I like to use the simple
example so that I can focus on the semantics.
And so I ask you not to judge the languages we use by the approach we are
taking in the course. If I taught all these same ideas in Java
or Python or Java Script, which I could do, those languages would look silly too.
Instead, I want to use these languages because they're the best vehicles for
focusing on semantics and idioms, and I assure you that there are ways to take,
say Ruby and use it for web programs, or Racket, and use it for real desktop
software and so on, and that's just not our focus.
Learn the semantics and the idioms in this course, and become a better software
person and a better computer scientist as a result.
Explore our Catalog
Join for free and get personalized recommendations, updates and offers.
Coursera provides universal access to the world’s best education,
partnering with top universities and organizations to offer courses online.
© 2018 Coursera Inc. All rights reserved.
