Jan 29-30, 2015
9:00 am - 4:45 pm
Instructors: Neal Davis, Ivan Gonzalez, David LeBauer, Matthew Turk
Helpers:
Software Carpentry's mission is to help scientists and engineers get more research done in less time and with less pain by teaching them basic lab skills for scientific computing. This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.
The registration fee helps us to cover facility and instructor travel expenses. Lunch, coffee, and snacks are provided.
This event is jointly sponsored by National Center for Supercomputing Applications and Computational Science and Engineering at the University of Illinois.
Who: The course is aimed at graduate students and other researchers. Some programming experience is preferred, as it will ease the application of concepts.
Where: NCSA 1030, 1205 W Clark St, Urbana, IL
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 training@cse.illinois.edu for more information.
Network: If you are not affiliated with UIUC, please use the UIPublicWiFi network or email us ahead of time for a guest account.
Files: You can also get the files for the shell lesson here.
08:30 | Assisting with setup and installation issues |
09:00 | Automating tasks with the Unix shell |
10:30 | Break |
12:00 | Lunch (provided) |
13:00 | Building programs with Python (Part I) |
15:00 | Break |
16:30 | Wrap-up |
09:00 | Building programs with Python (Part II) |
10:30 | Break |
12:00 | Lunch (provided) |
13:00 | Version control with Git |
15:00 | Break |
16:30 | Wrap-up |
Etherpad.
We will use this Etherpad for chatting, taking notes, and sharing URLs and bits of code.
add
, commit
, ...status
, diff
, ...clone
, pull
, push
, ...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.
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.
Kate is one option for
Linux users. In a pinch, you can use nano
, which
should be pre-installed.
Bash is a commonly-used shell that gives you the power to do simple tasks more quickly.
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:
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.
Git is a version control system that 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.
Git should be installed on your computer as part of your Bash install (described above).
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. For Debian/Ubuntu run
sudo apt-get install git
and for Fedora run
sudo yum install git
.
Python is a popular language for scientific computing, and great for general-purpose programming as well. Installing all of its scientific packages individually can be a bit difficult, so we recommend an all-in-one installer.
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).