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. regards Jennifer
On Tue, 21 Jan 2014 21:56:17 +0530, jennifer stone wrote:
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.
SciPy's spherical harmonics are very inefficient if one is only interested in computing one specific order. I'd be so happy if someone would work on that! Stéfan
On Tue, Jan 21, 2014 at 9:26 AM, jennifer stone <jenny.stone125@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. Chuck
On Tue, Jan 21, 2014 at 9:46 AM, Charles R Harris <charlesr.harris@gmail.com
wrote:
On Tue, Jan 21, 2014 at 9:26 AM, jennifer stone <jenny.stone125@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
On Tue, Jan 21, 2014 at 5:46 PM, Charles R Harris <charlesr.harris@gmail.com
wrote:
On Tue, Jan 21, 2014 at 9:26 AM, jennifer stone <jenny.stone125@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
Scipy doesn't have a function for the Laplace transform, it has only a Laplace distribution in scipy.stats and a Laplace filter in scipy.ndimage. An inverse Laplace transform would be very welcome I'd think  it has real world applications, and there's no good implementation in any open source library as far as I can tell. It's probably doable, but not the easiest topic for a GSoC I think. From what I can find, the paper "Numerical Transform Inversion Using Gaussian Quadrature" from den Iseger contains what's considered the current state of the art algorithm. Browsing that gives a reasonable idea of the difficulty of implementing `ilaplace`.
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,
You can have a look at https://github.com/scipy/scipy/pull/2908/files for ideas. Most of the things that need improving or we really think we should have in Scipy are listed there. Possible topics are not restricted to that list though  it's more important that you pick something you're interested in and have the required background and coding skills for. Cheers, Ralf 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.
Chuck
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participants (4)

Charles R Harris

jennifer stone

Ralf Gommers

Stéfan van der Walt