(description of Metacademy)
But some topics are so important and fundamental that they appear all over the place. If you do any sort of programming, there are
some basic concepts you'll simply have to be familiar with: control structures, functions, arrays, and so on. These are the air you breathe,
the water you drink. Trying to list all the things that depend on them would be hopeless.
If you have already taken a university level programming course, or [AP Computer Science](http://en.wikipedia.org/wiki/AP_Computer_Science), or have taught yourself enough programming to write simple programs (e.g. games), then you know enough to use Metacademy. You can skip the rest of this roadmap. If not, then read on.
# What language to start with?
All the languages I just listed are _procedural_ programming languages, where statements are executed in order. At some universities, the introductory courses are taught in a _functional_ programming language, such as Scheme or Haskell. You're free to follow this path as well, and being comfortable with functional programming ideas will pay off even in imperative programming languages. But be warned that this road can be more difficult, since the mapping between programs and algorithms is less obvious. Also, since functional and imperative languages are very different, it will be more work to translate what you've learned from one setting to the other. (Introductory college courses which use Scheme or Haskell are typically intended for students who have already done some programming in an imperative langauge.)
If you don't have a reason to want to learn a particular language, our recommendation is to start with Python. Here are some of the advantages:
* The core language is clean and simple, and presents fewer hurdles to beginners compared with some of the alternatives
* It is an interpreted language, so you can quickly experiment in an interactive shell
* It is a very widely used language, with among the best software platforms for [web development](https://www.djangoproject.com/), data science, [scientific computing](http://www.scipy.org/), etc.
# Where to learn?
There are hundreds of textbooks, online courses, tutorials, and other kinds of introductions to programming out there. Any of them will probably cover all or most of the topics listed above. We list here a few free online resources which we happen to know about.
## Option 1: online programming course
- Do one of the following:
* The EdX course [CS50, Introduction to Computer Science](https://courses.edx.org/courses/HarvardX/CS50x/2014_T1/info), is Harvard's introductory programming course, aimed at non-majors. This has a light-hearted style, with high production values. The course covers several languages, but the relevant parts are taught in C. You should watch the videos for Weeks 0 through 3, and do problem sets 1 and 2.
## Option 2: textbook
- Here are some free online programming textbooks. Work your way through any one of them, doing the exercises as you go.
* [Think Python: How to Think like a Computer Scientist](http://www.greenteapress.com/thinkpython/html/index.html)
* [The Art and Craft of Programming](http://beastie.cs.ua.edu/cs150/book/index.html)
- Do one of the following:
* Khan Academy's tutorial ["Intro to JS: Drawing and Animation."](https://www.khanacademy.org/computing/cs/programming) This teaches you the basics of programming by way of creating simple graphics in the browser.