Cold Spring Harbor Laboratory, Hershey Building, east conference room

One Bungtown Road, Cold Spring Harbor, NY
May 12-13, 2014
9:00 am - 4:30 pm

General Information

Software Carpentry's mission is to help scientists and engineers become more productive by teaching them basic lab skills for computing like program design, version control, data management, and task automation. This two-day hands-on bootcamp will cover basic concepts and tools; participants will be encouraged to help one another and to apply what they have learned to their own research problems.

Instructors: Will Trimble, Sheldon McKay

Who: The course is aimed at graduate students, postdocs, and other researchers.

Where: One Bungtown Road, Cold Spring Harbor, NY. Get directions with OpenStreetMap or Google Maps.

Requirements: Participants must bring a laptop with a few specific software packages installed (listed below).

Contact: Please mail admin@software-carpentry.org for more information.


Schedule

Monday 09:00 Overview: getting things done--what are we optimizing for?
Monday 09:45 Introducing the shell
10:30 Break
10:45 Automating workflows (pipes and scripts)
12:00 Lunch break
13:00 Write code for people (python variables)
14:30 Break
14:45 Write code for people (python datastructures)
Tuesday 09:00 Use version control (keep track of your work with git)
10:30 Break
10:45 Collaborate (synchronize and share your work with git)
12:00 Lunch break
13:00 Getting things done in shell (pipes and grep)
13:30 Don't repeat yourself (python loops, functions, and testing)
14:30 Break
14:45 Tour of R Studio
16:30 Break
16:45 Cloud computing and iPlant

Setup

To participate, you will need working copies of bash, git (gitbash on Windows), a Text editor, python, and R Studio. Please make sure to install everything (or at least to download the installers) before the start of your bootcamp.

Overview

Editor

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. The default text editor on Mac OS X and Linux is usually set to Vim, which is not famous for being intuitive. if you accidentally find yourself stuck in it, try typing the escape key, followed by ':q!' (colon, lower-case 'q', exclamation mark), then hitting Return to return to the shell.

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.

Git

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 github.com.

Python

Python is becoming very popular in scientific computing, and it's a great language for teaching general programming concepts due to its easy-to-read syntax. We teach with Python version 2.7, since it is still the most widely used. Installing all the scientific packages for Python individually can be a bit difficult, so we recommend an all-in-one installer.

R

R is a programming language that specializes in statistical computing. It is a powerful tool for exploratory data analysis. To interact with R, we will use RStudio, an interactive development environment (IDE).

Windows

Editor

Notepad++ is a popular free code editor for Windows. Be aware that you must add its installation directory to your system path in order to launch it from the command line (or have other tools like Git launch it for you). Please ask your instructor to help you do this.

Git Bash

Install Git for Windows by download and running the installer. This will provide you with both Git and Bash in the Git Bash program.

Python

  • Download and install Anaconda CE.
  • Use all of the defaults for installation except make sure to check Make Anaconda the default Python.

R

Install R by downloading and running this .exe file from CRAN. Also, please install the RStudio IDE.

Mac OS X

Bash

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.

Editor

We recommend Text Wrangler or Sublime Text. In a pinch, you can use nano, which should be pre-installed.

Git

Install Git for Mac by download and running the installer.

Python

  • Download and install Anaconda CE.
  • Use all of the defaults for installation except make sure to check Make Anaconda the default Python.

R

Install R by downloading and running this .pkg file from CRAN. Also, please install the RStudio IDE.

Linux

Bash

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.

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).

Editor

Kate is one option for Linux users. In a pinch, you can use nano, which should be pre-installed.

R

You can download the binary files for your distribution from CRAN. Or you can use your package manager, e.g. for Debian/Ubuntu run apt-get install r-base. Also, please install the RStudio IDE.

Python

We recommend the all-in-one scientific Python installer Anaconda. (Installation requires using the shell and if you aren't comfortable doing the installation yourself just download the installer and we'll help you at the boot camp.)

  1. Download the installer that matches your operating system and save it in your home folder.
  2. Open a terminal window.
  3. Type
    bash Anaconda-
    and then press tab. The name of the file you just downloaded should appear.
  4. Press enter. You will follow the text-only prompts. When there is a colon at the bottom of the screen press the down arrow to move down through the text. Type yes and press enter to approve the license. Press enter to approve the default location for the files. Type yes and press enter to prepend Anaconda to your PATH (this makes the Anaconda distribution the default Python).

Setup Test

  • gitbash or terminal window
  • ipython
  • git
  • Rstudio

Group chat -- etherpad

Etherpad group chat

Lessons

Index to lessons

Post-bootcamp survey

Post-bootcamp assessment