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 bootcamp 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.
Instructors: Aron Ahmadia, Ted Hart
Who: This is a special one-day workshop held in conjunction with the CSDMS Annual Meeting. Working knowledge of command line tools is assumed.
Where: Room 620, Administrative and Research Center, 3100 Marine St. Boulder, CO 80309. 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.
08:00 | Fundamentals of Python |
Coffee will be served at 9:45. | |
10:00 | Python for Earth Science |
12:00 | Lunch break |
13:00 | Scientific Software Engineering in Python |
14:00 | Introduction to Version Control with Git |
Coffee will be served at 15:45. | |
16:00 | The Git Developer's Workflow |
17:00 | 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.
Install Git for Windows by download and running the installer. This will provide you with both Git and Bash in the Git Bash program.
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.
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 downloading and running the installer. For older versions of OS X (10.5-10.7) use the most recent available installer available here. Use the Leopard installer for 10.5 and the Snow Leopard installer for 10.6-10.7.
Windows users will need to complete one last step. After installing both Python and Git Bash, download this file, making sure that it has a .py
extension on the end when you save it. Next, open Git Bash and type each of these three commands, hitting Return after each one: cd
, cd Desktop
, python swc-windows-installer.py
. You'll see a blinking underscore for a bit, and then eventually you'll once again see a $
symbol with the blinking underscore after it. You can close Git Bash at this point.
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.
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).
To test that your system is configured properly, complete the following four steps. If any of these do not succeed, or if you run into any other trouble, please email Aron Ahmadia immediately.
ipython
and hit Return. After a few seconds, you should see some text printed on your screen that starts with a line like "Python 2.7.6 | Anaconda 1.9.0". Hit Ctrl-d
twice to return to the command line.nano --version
and hit Return. You should see some text printed on your screen that starts with something like "GNU nano version 2.0.6".git --version
and hit Return. You should be see something like "git version 1.8.3.4" printed on your screen.