On Tue, Jan 21, 2014 at 9:46 AM, Charles R Harris <charlesr.har...@gmail.com > wrote:
> > > > On Tue, Jan 21, 2014 at 9:26 AM, jennifer stone > <jenny.stone...@gmail.com>wrote: > >> >> >What are your interests and experience? If you use numpy, are there >>> things >>> >you would like to fix, or enhancements you would like to see? >>> >>> Chuck >>> >>> >> I am an undergraduate student with CS as major and have interest in Math >> and Physics. This has led me to use NumPy and SciPy to work on innumerable >> cases involving special polynomial functions and polynomials like Legendre >> polynomials, Bessel Functions and so on. So, The packages are closer known >> to me from this point of view. I have a* few proposals* in mind. But I >> don't have any idea if they are acceptable within the scope of GSoC >> 1. Many special functions and polynomials are neither included in NumPy >> nor on SciPy.. These include Ellipsoidal Harmonic Functions (lames >> function), Cylindrical Harmonic function. Scipy at present supports only >> spherical Harmonic function. >> Further, why cant we extend SciPy to incorporate* Inverse Laplace >> Transforms*? At present Matlab has this amazing function *ilaplace* and >> SymPy does have *Inverse_Laplace_transform* but it would be better to >> incorporate all in one package. I mean SciPy does have function to evaluate >> laplace transform >> >> After having written this, I feel that this post should have been sent to >> SciPy >> but as a majority of contributors are the same I proceed. >> Please suggest any other possible projects, as I would like to continue >> with SciPy or NumPy, preferably NumPy as I have been fiddling with its >> source code for a month now and so am pretty comfortable with it. >> >> As for my experience, I have known C for past 4 years and have been a >> python lover for past 1 year. I am pretty new to open source communities, >> started before a manth and a half. >> >> > It does sound like scipy might be a better match, I don't think anyone > would complain if you cross posted. Both scipy and numpy require GSOC > candidates to have a pull request accepted as part of the application > process. I'd suggest implementing a function not currently in scipy that > you think would be useful. That would also help in finding a mentor for the > summer. I'd also suggest getting familiar with cython. > > I don't see you on github yet, are you there? If not, you should set up an account to work in. See the developer guide <http://docs.scipy.org/doc/numpy/dev/>for some pointers. Chuck
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