On Mon, Feb 22, 2010 at 3:56 PM, Mohit Goyal <mohitiiit@gmail.com> wrote:
I am a masters student doing research in data engineering. I have done projects involving web development and data management in python. I want to contribute to scipy via gsoc 2010. I am interested in working on data related projects in scipy like improving data sources and integrate it into all the numpy/scipy , adding data sets and examples to scipy, data analysis etc.
Please suggest me how to proceed.
Have a look at the replies to your last e-mail to the dev list on Feb. 17th here: <http://thread.gmane.org/gmane.comp.python.scientific.devel/12827>. These are some good suggestions. In answer to the issues raised in the thread, you should clarify what you're referring to, ie., would you want to work one the machine learning scikit or the data I/O? If it's the datasource project, I would also search the mailing list for discussions about this over the last year or so. It's good to go ahead and start getting together a proposal and application. People on the mailing lists will be very helpful in giving feedback and guiding you in the right direction. One thing I would like to see is some more work on David C.'s dataset proposal (that we have been following with a few changes for the statsmodels scikit). Is this still accurate of the status? <http://www.scipy.org/scipy/scikits/wiki/MachineLearning#Datasetsconcept> Cheers, Skipper