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: Christina Koch, Jens von der Linden
Helpers: Christian Battista, Chris Beitel, Louise Giam, Amy Hodge, Jillynne Quinn, Kelly Zalocusky
Who: The course is aimed at graduate students and other researchers in the department of psychiatry.
Where: Li Ka Shing Center at Stanford's Medical School, room LK120. 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 amyhodge@stanford.edu for more information.
Live chat room! Etherpad
08:00 | Last minute installation help |
09:00 | General Logistics and Stanford Digital Repository (Amy Hodge) |
09:30 | Automating tasks with the Unix shell (Jens von der Linden) |
10:30 | Coffee break |
11:00 | Shell continued (Jens von der Linden) |
12:00 | Lunch break |
13:00 | Version control with Git (Christina Koch) |
14:30 | Coffee break |
15:00 | Git continued (Christina Koch) |
16:00 | Wrap-up |
10:00 | Building programs with Python (Christina Koch) |
11:30 | Coffee break |
12:00 | Python continued (Christina Koch) |
13:00 | Lunch break |
14:00 | Testing (Jens von der Linden) |
15:30 | Coffee break |
16:00 | Testing continued (Jens von der Linden) |
17:00 | Wrap-up (Christina Koch / Jens von der Linden) |
pwd
, cd
, ls
, mkdir
, ...grep
, find
, ...for
, if
, else
, ...add
, commit
, ...status
, diff
, ...clone
, pull
, push
, ...To participate in a Software Carpentry bootcamp, you will need working copies of the software described below. Please make sure to install everything (or at least to download the installers) before the start of your bootcamp.
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.
Bash is a commonly-used shell. Using a shell gives you more power to do more tasks more quickly with your computer.
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 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.
Install Git for Windows by download and running the installer. This will provide you with both Git and Bash in the Git Bash program.
This installer requires an active internet connection
After installing Python and Git Bash:
nano
is the editor installed by the Software Carpentry Installer,
it is a basic editor integrated into the lesson material.
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.
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.
We recommend
Text Wrangler or
Sublime Text.
In a pinch, you can use nano
,
which should be pre-installed.
Install Git for Mac by downloading and running the installer. For older versions of OS X (10.5-10.7) use the most recent available installer available here. Use the Leopard installer for 10.5 and the Snow Leopard installer for 10.6-10.7.
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.
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
or yum
).
Kate is one option for Linux users.
In a pinch, you can use nano
,
which should be pre-installed.
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.)
bash Anaconda-and then press tab. The name of the file you just downloaded should appear.
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).
Some instructors prefer to have learners use a virtual machine (VM) rather than install software on their own computers. If your instructors have chosen to do this, please:
.ova
file.