Software Carpentry's mission is to help people become more productive by teaching them basic computing skills 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. Note that the workshop is open to everyone, not just PyCon attendees.
Instructors: Anthony Scopatz, Ivan Gonzalez, Marcello Barisonzi, Marianne Corvellec, Denis Haine
Our thanks to Enthought for their generous sponsorship of this bootcamp.
Who: The course is aimed at graduate students, post-docs, and working scientists, particularly those whose day-to-day work involves wrangling data.
Where: Room 523, Palais de Congres, Montreal, Quebec. 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 admin@software-carpentry.org for more information.
Monday | 09:00 | Introduction to task automation with the Unix shell |
Coffee will be served at 10:30. | ||
12:00 | Lunch break | |
13:00 | Building programs with Python | |
Coffee will be served at 14:30. | ||
16:00 | Wrap-up | |
Tuesday | 09:00 | Version control with Git |
Coffee will be served at 10:30. | ||
12:00 | Lunch break | |
13:00 | Managing data with SQL | |
Coffee will be served at 14:30. | ||
15:00 | Putting it all together | |
16:00 | Wrap-up |
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.
SQL is a specialized programming language used with databases. We use a simple database manager called SQLite, either directly or through a browser plugin.
For an all-in-one installer:
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.
Install Git for Windows by download and running the installer. This will provide you with both Git and Bash in the Git Bash program.
Download the sqlite3 program and put it in the directory where you are running examples. Alternatively, you may install the Firefox SQLite browser plugin described below.
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 download and running the installer.
sqlite3
comes pre-installed on Mac OS X.
Alternatively,
you may install the Firefox SQLite browser plugin described below.
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
).
Kate is one option for Linux users.
In a pinch, you can use nano
,
which should be pre-installed.
sqlite3
comes pre-installed on Linux.
Alternatively,
you may install the Firefox SQLite browser plugin described below.
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).