Feb 05-06, 2015
8:30 am - 4:00 pm
Instructors: Tom Wright, Thomas Guignard, Greg Wilson
Helpers: Amy Brown, James Iveniuk, Kristina Mitova, Kim Pham, Kathy Chung, Brigitte Mueller
Software Carpentry's mission is to help students, librarians and researchers get more done in less time and with less pain by teaching them basic computing skills. 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.
Who: The course is aimed at students who are interested in developing a practical understanding of Data Analytics tools. Registration is open to all. Note that priority will be given to AIS members and students from the iSchool at the University of Toronto.
Volunteering opportunity: Want to help out during a session as a volunteer? Contact AIS (see below).
iSchool Faculty of Information, Robarts Library, St. George Campus, University of Toronto.
Get directions with
The iSchool is in the Bissel building, which is essentially the north wing of the Robarts Library building. The event will take place in two different rooms:
Requirements: A basic prior knowledge of the Python programming language is required for day 2 of the workshop. iSchool students who attended INF1340H Introduction to Information Systems, for example, should have the required Python skills to follow the course easily. 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 email@example.com for more information.
|09:00||Automating tasks with the Unix shell|
|13:00||Programming with R|
During the workshop, attendees took notes and shared URLs using an Etherpad.
A saved version of the Etherpad (slightly edited for readibility) is now available here.
If you'd rather use the original editable version: https://etherpad.mozilla.org/2015-02-05-toronto.
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
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
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
/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
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.
Please make sure you install Python version 2.x - Python 3 introduced a lot of changes that will break some of the code we will be teaching.
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.
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).