"Working with Open Data", a course by Raymond Yee This will be a guest post, authored by Raymond Yee from the UC Berkeley School of Information (or I School, as it is known around here). This spring, Raymond has been teaching a course titled "Working with Open Data" , where students learn how to work with openly available data sets with Python. Raymond has been using IPython and the notebook since the start of the course, as well as hosting lots of materials directly using github. He kindly invited me to lecture in his course a few weeks ago, and I gave his students an overview of the IPython project as well as our vision of reproducible research and of building narratives that are anchored in code and data that are always available for inspection, discussion and further modification. Towards the end of the course, his students had to develop a final project, organizing themselves in groups of 2-4 and producing a final working system that would use open...
Thoughts and notes on open scientific computing, with a focus on Python-based tools (IPython, numpy, scipy, matplotlib and friends). By Fernando Pérez, UC Berkeley Statistics and Data Science Professor. Website at fernandoperez.org.