Guidance to start contribution to Numpy
Hi everyone, I'm a third year undergraduate student in Computer Science. I have worked in Python libraries for past two years and am interested in getting some open source experience in Numpy and it would be great if anyone could suggest some bugs or issues that are suitable for a beginner to try working on ?
Hi Maniteja, On Sun, Nov 2, 2014 at 11:21 AM, Maniteja Nandana < maniteja.modesty067@gmail.com> wrote:
Hi everyone, I'm a third year undergraduate student in Computer Science. I have worked in Python libraries for past two years and am interested in getting some open source experience in Numpy and it would be great if anyone could suggest some bugs or issues that are suitable for a beginner to try working on ?
The best way to get started is to read the hacking document http://docs.scipy.org/doc/scipy-0.14.0/reference/hacking.html, set up a github account, and then look through the issues and pull requests for the numpy repository https://github.com/numpy/numpy on github. Documentation fixes, code review, and bug fixes are all good ways to get involved in Numpy. If you are unfamiliar with git it will be helpful to read up on it and if you write code you should also read the howtos and style guides https://github.com/numpy/numpy/tree/master/doc. Also note the bottom posting convention on the list ;) Chuck
Hello Charles, Thanks for the help. I am a computer science major with little maths background, with interest in natural language processing and machine learning, both of which involve a lot of calculus, statistics and linear algebra. I have used numpy quite a lot for clustering, fft and polynomials like legendre. I have gone through the hacking and howtocode documentation. My github account is https://github.com/maniteja123. I have been using git for my local repositories. It would be great if you could suggest where to have a look at for the ideas, maybe like the roadmap, since there are many issues and pull requests on repository and I have not yet explored the breadths and depths of Numpy and scipy, but am totally eager to do so. Regards, Maniteja _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http:// http://mail.scipy.org/mailman/listinfo/numpy-discussion mail.scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion /mailman/ http://mail.scipy.org/mailman/listinfo/numpy-discussionlistinfo http://mail.scipy.org/mailman/listinfo/numpy-discussion/ http://mail.scipy.org/mailman/listinfo/numpy-discussionnumpy http://mail.scipy.org/mailman/listinfo/numpy-discussion-discussion http://mail.scipy.org/mailman/listinfo/numpy-discussion Hi Maniteja, On Sun, Nov 2, 2014 at 11:21 AM, Maniteja Nandana < maniteja.modesty067@gmail.com> wrote:
Hi everyone, I'm a third year undergraduate student in Computer Science. I have worked in Python libraries for past two years and am interested in getting some open source experience in Numpy and it would be great if anyone could suggest some bugs or issues that are suitable for a beginner to try working on ?
The best way to get started is to read the hacking document http://docs.scipy.org/doc/scipy-0.14.0/reference/hacking.html, set up a github account, and then look through the issues and pull requests for the numpy repository https://github.com/numpy/numpy on github. Documentation fixes, code review, and bug fixes are all good ways to get involved in Numpy. If you are unfamiliar with git it will be helpful to read up on it and if you write code you should also read the howtos and style guides https://github.com/numpy/numpy/tree/master/doc. Also note the bottom posting convention on the list ;) Chuck _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
participants (2)
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Charles R Harris
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Maniteja Nandana