SciPy.in 2010 Sprint Topics

Please specify the topics for sprints that you would like the participants to work on. Where ever relevant, please add links to the bug-tracker or mailing list discussion. Also, it would be nice, if the topics can be classified based on the skill level required to work on them.

scikits.image

We have tasks for everyone from beginners to seasoned coders. We need people to write tutorials, to test code, to implement new features, to adapt source code already available, etc.

Please refer to our development website for a more detailed list!

textbooks

Our idea is to create an opportunity to the participants to apply the computational techniques they would have learnt during the tutorials. Keeping this in view, we have gathered a set of books with increasing complexity and level of prerequisites. Participants are expected to form groups and work on and finish off a textbook of interest during the sprints. These solutions, after a review, are kept available for everyone on the internet in the name of 'open source educational content'.

For beginner of Python/Sage, we suggest the following books:

1. Getting started with MATLAB - Rudra Pratap

2. Calculus of One Variable - Keith E. Hirst

For participants who knew to work on Python/Sage and would like to work on slightly mathematical material, we suggest:

3. Advanced Engineering Mathematics - Erwin Kreyszig [split into three parts]

4. Linear Algebra - Gilbert Strang

5. An Introduction to Partial Differential Equations with Matlab - Matthew P. Coleman

For those who don't want to do anything but physics (!), we suggest:

6. Modern Physics - Kennith Krane

7. Introduction to Dynamics - Ian Percival, Derek Richards