Jun 15-16, 2015
9:00 am - 5:30 pm
Instructors: Luis Pedro Coelho, Jean-Christophe Leyder
Helpers: Iñigo Aldazabal, Alex Savio, Oier Echaniz, Diego Lasa, Garikoitz Aguirregabiria, Ivor Loncaric
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.
For more information on what we teach and why, please see our paper "Best Practices for Scientific Computing".
Who: The course is aimed at graduate students, post-doctoral researchers and other researchers. Applicants from the organizing and collaborating entities (CFM, IT Faculty Computational Intelligence Group and DIPC) will have priority, but the course is open to all scientific community.
There is no cost to attend and coffee breaks are included.
Registration: Registration is closed as May the 22nd!
All available seats for the workshop have been filled, with quite a few people still in the waiting list.
In the coming days everybody who registered will receive an update about her registration status.
This workshop is possible thanks to the contributions of
|09:00||Software setup and account signup|
|09:45||Introduction to the Unix shell (LPC)|
|11:30||Introduction to the Unix shell (continued) (LPC)|
|14:15||Version control with Git (JCL)|
|16:00||Version control with Git (continued) (JCL)|
|09:00||Set up and review of day 1|
|09:30||Programming in Python (LPC)|
|11:30||Programming in Python (continued) (LPC)|
|14:15||Scientific Python (JCL)|
|16:00||Scientific Python (continued) (JCL)|
We will use this Etherpad for chatting, taking notes, and sharing URLs and bits of code.
To participate in a Software Carpentry workshop, you will need access to the software described below. In addition, you will need an up-to-date web browser. Once you are done installing the software listed below, please go to this page, which has instructions on how to test that everything was installed correctly.
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.
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 downloading and running the installer. This will provide you with both Git and Bash in the Git Bash program.
It installs and configures nano (Among other things)
This installer requires an active internet connection.
After installing 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
/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
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. You will need a supported web browser (current versions of Chrome, Firefox or Safari, or Internet Explorer version 9 or above).
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
After installing Git, there will not be anything in your
as Git is a command line program.
For older versions of OS X (10.5-10.7) use the
most recent available installer for your
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.
Regardless of how you choose to install it, please make sure you install Python version 2.x and not version 3.x (e.g., 2.7 is fine but not 3.4). Python 3 introduced changes that will break some of the code we teach during the workshop.
We will teach Python using the IPython notebook, a programming environment that runs in a web browser. For this to work you will need a reasonably up-to-date browser. The current versions of the Chrome, Safari and Firefox browsers are all supported (some older browsers, including Internet Explorer version 9 and below, are not).
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 workshop.)
bash Anaconda-and then press tab. The name of the file you just downloaded should appear.
yesand press enter to approve the license. Press enter to approve the default location for the files. Type
yesand press enter to prepend Anaconda to your
PATH(this makes the Anaconda distribution the default Python).