University of Illinois at Chicago

MRMB 1152, 900 S. Ashland, Chicago, IL 60607
Oct 17-18, 2013
8:30 am - 4:30 pm

Instructors: Rachel Poretsky, Neal Davis, Will Trimble, John Blischak

What: More and more fields of biology are using computational methods for research. However, most undergraduate programs in biology do not provide the foundations of computer programming and software development in their curriculum, leaving graduate students to inefficiently struggle to self-teach themselves skills throughout their dissertation research. This is why Software Carpentry exists. Our goal is to help scientists and engineers become more productive by teaching them basic computing skills. In this two-day boot camp, attendees will learn basic programming, as well as best practices for writing correct and reproducible code, through short tutorials interspersed with hands-on practical exercises.

Who: This particular boot camp is aimed at graduate students in the life sciences with minimal programming skills.

Requirements: Participants must bring a laptop with a few specific software packages installed.

Content: The syllabus for this boot camp will include:

Contact: Please mail for more information.


Please complete the post-boot camp survey. It helps us demonstrate our impact and also improve our teaching. Thanks!


Subject to Change

Day 1
8:30 - 8:45 Setup Help
8:45 - 9:00 Introduction
9:00 - 10:30 The Shell
10:30 - 12:00 Python Variables
12:00 - 1:00 Lunch
1:00 - 2:00 Python Data Structures
2:00 - 3:00 Python Flow Control
3:00 - 4:30 Python Functions and Modules
Day 2
9:00 - 10:30 Version Control Local
10:30 - 12:00 Version Control Remote
12:00 - 1:00 Lunch
1:00 - 2:30 Debugging
2:30 - 4:30 Extended Shell and Python Example


We will post code snippets and other useful information on this Etherpad. Also, you can use the Etherpad to ask (and answer) questions about the lessons. Note: We will not be checking the Etherpad regularly until the first day of the boot camp. If you need help prior to the start of the boot camp, please email us.


Link to lesson material


The Bash Shell

Bash is a commonly-used shell. Using a shell gives you more power to do more tasks more quickly with your computer.


Install Git Bash following these instructions. This gives you Git as well as Bash.

Mac OS X

The default shell in all versions of Mac OS X is bash, so no need to install anything. You access bash from the Terminal (found in /Applications/Utilities). You may want to keep Terminal in your dock for this workshop.


The default shell is usually bash, but if your machine is set up differently you can run it by opening a terminal and typing bash. There is no need to install anything.


When you're writing code, it's nice to have a text editor that is optimized for writing code, with features like automatic color-coding of key words.


Notepad++ is a popular free code editor for Windows.

Mac OS X

We recommend Text Wrangler or Sublime Text.


Kate is one option.


Git is a state-of-the-art version control system. It lets you track who made changes to what when and has options for easily updating a shared or public version of your code on


Install Git Bash following the instructions here. This gives you Bash as well as Git.

Mac OS X

Installing Git may require you to first install XCode. This is a very large download (several gigabytes), so please do it before arriving at the bootcamp.

For Mac OS X 10.7 and 10.8:

Go to the Xcode website. Get XCode from the App Store making certain to install the command line tools (from the Download preferences pane). Git is included in the command line tools.

For Mac OS X 10.6

If you have Mac OS X 10.6, first get XCode by going to the Apple developer site. You have to sign in with an Apple ID linked to a Developer account. If you don't have one, you can register and create one. Once you log in, go to page 8 and find "XCode 3.2.6 and iOS SDK 4.3 for Snow Leopard". Click to open that section, and then download the .dmg file. Finally, install just git.


If Git is not already available on your machine you can try to install it via your distro's package manager (e.g. apt-get).


Python is becoming more and more popular in scientific computing, and it's a great language for teaching general programming concepts due to its easy-to-read syntax. We will be using Python version 2.7. Installing all the scientific packages for Python individually can be a bit difficult, so we recommend using an all-in-one installer. You can visit the python documentation to get a deeper description of the different topics we will be covering.


Installing everything you need on your own can be a bit difficult so we recommend just installing Enthought Canopy, which comes in free and academic versions for Mac, Windows, and GNU/Linux.

Virtual Machine

Installation issues can and do happen. To ensure that you can continue to participate in a lesson even if one of your software programs fails, we provide a Linux virtual machine that contains all the necessary software pre-installed. Please install VirtualBox and download this virtual machine image. Load the VM into VirtualBox by doing Import Appliance and loading the .ova file.