Jan 27-29, 2015
8:30 am - 12:00 pm
Instructors: Joshua R. Herr, Luiz Irber, Jiarong Guo, Aaron Garoutte
Helpers: TBA
We will use this Mo-Pad Note Page to take shared notes for the event.
For more information and to register for this bootcamp, please see the iCER webpage for this event.
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 workshop 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.
Who: The course is aimed at graduate students and other researchers.
Where: Biomedical and Physical Sciences Building, East Lansing, Michigan, 48824. Get directions with OpenStreetMap or Google Maps.
Requirements: Participants must bring a laptop with a few specific software packages installed (listed below). They are also required to abide by Software Carpentry's Code of Conduct.
Contact: Please mail joshua.r.herr@gmail.com for more information.
08:30 AM | Introduction to the Unix shell |
10:00 AM | Coffee break |
10:15 AM | Automating Tasks with the Shell |
Noon | Lunch |
12:30 PM | Wrap-Up |
08:30 AM | Python introduction |
09:00 AM | Variables and string |
10:00 AM | Coffee break |
10:15 AM | List and file stream |
Noon | Lunch |
12:30 PM | Wrap-Up |
08:30 AM | Version control with Git |
10:00 AM | Coffee break |
10:15 AM | Using Git with Collaborators |
Noon | Lunch |
12:30 PM | Wrap-Up |
pwd
, cd
, ls
, mkdir
, ...grep
, find
, ...for
, if
, else
, ...add
, commit
, ...status
, diff
, ...clone
, pull
, push
, ...To participate in a Software Carpentry workshop, 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 workshop.
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.
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.
We recommend
Text Wrangler or
Sublime Text.
In a pinch, you can use nano
,
which should be pre-installed.
For OS X 10.8 and higher, 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 for your OS available here. Use the Leopard installer for 10.5 and the Snow Leopard installer for 10.6-10.7.
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).