Specific Concepts
- The Binary Number System — a very quick explanation of how binary numbers work, including fractions. There's a slightly longer explanation from a different perspective here.
Unix and the Command Line
There are many "flavors" of Unix. OS X is one; Linux (like on sun.iwu.edu) is another. They all share common commands and utilities, though, so a tutorial written for one is often applicable to the others. I've found some here that are specific to OS X and others for Linux, but you can see that they overlap quite a bit.
I would recommend going through all of them, actually. After you've done one, each later one will introduce a few new concepts or explain things slightly differently. As you learn, though, you'll become more and more comfortable with the shell, and the later tutorials will fly past, so it shouldn't take too long.
- UNIX Tutorial for Beginners — A great introduction to Unix, files, directories, and the wide variety of commands available on the command line. The Introduction and Tutorials One, Two, Four, and Six are most useful for this class, but they all contain really useful tips.
- Mac OS X Unix Tutorial — An introduction to the terminal in OS X. Quite detailed. Parts 1-3 are the most relevant to what we will do in this class.
- Basic Command Line Utilities, Tips, & Commands — A quick cheat sheet with commands and tips for OS X. Quick reference, after you've already gone through a tutorial or two.
I've decided that the following resources are less useful than the others, but I will leave them here as extra references in case someone wants to explore them:
Python
The main site for Python is python.org. It's a fairly busy site, so many of the links below go straight to the important parts inside.
Tutorials
For these, I suggest you skim through the beginning of each and find one that suits you well. Use that as a second reference alongside the textbook. For any concept that is stumping you, search for it in the remaining guides as well for a fresh perspective that might clear things up.
- Instant Hacking — One long page that covers most of the topics in this course in a brief but understandable style.
- Programming Crash Course — "In this tutorial you will learn how to program a computer." Nicely done with lots of images.
- Hands-On Python Tutorial — Very detailed, can be downloaded as web pages or as a PDF in addition to being read online.
- The Python Tutorial — The "official" Python tutorial. This one is more technical than the others.
Reference
- Python Quick Reference — Very dense and technical, it's not great for learning the language, but it is a good reference later.
- The Python Standard Library — This documents every function that is built-in to Python. Refer to this to figure out how a particular function works or to search for a function that you think might exist but don't know about yet.
- Beginner's Guide — Python's "Beginner's Guide," with lots of links to tutorials, examples, etc., if you want to dig.
- Style Guide for Python Code — For our purposes, the sections on "Code lay-out," "Whitespace in Expressions and Statements," and "Comments" are very important.
Processing
The main site for Processing is processing.org, where you can download Processing and check out what others have done with it. The Exhibition is worth checking out — people have done some amazing things with Processing, going well beyond simple drawings and animation.
OpenProcessing has a huge collection of Processing sketches (with code) shared by people from around the world. It's a community site where anyone can post their Processing project, and there are even collections from other courses taught using Processing worldwide.
Tutorials
- Processing Tutorials —
The top three will get you started on using Processing and creating graphics.
The "Objects" tutorial is a good introduction to objects.
Reference
- Processing Language Reference — Help for every function available in Processing.
- Comparing Python and Processing — Tables showing equivalent syntax in Python and the Processing language for a variety of common constructions. If you know how you would do something in Python, this will help translate that over to Processing.