Hello all, I am new to this organization and wanted to start with some easy-fix issues to get some knowledge about the soruce code. However, the issues under easy-fix labels have already been solved or someone is at it. Can someone help me find such issues?
On Tue, Feb 21, 2017 at 7:32 AM, ashwin.pathak < ashwin.pathak@students.iiit.ac.in> wrote:
Hello all, I am new to this organization and wanted to start with some easy-fix issues to get some knowledge about the soruce code. However, the issues under easy-fix labels have already been solved or someone is at it. Can someone help me find such issues?
Hi Ashwin, welcome. I don't want to seem discouraging, but I do want to explain that NumPy is significantly harder to get started on than SciPy (which you've started on already) as a newcomer to the scientific Python ecosystem. So I'd encourage you to spend some more time on the SciPy issues - there are more easy-fix ones there, and the process of contributing (pull requests, reviews, finding your way around the codebase) is similar for the two projects. Cheers, Ralf
Ashwin, I don't know your background but perhaps it is similar to mine. I use numpy extensively in my day job and starting contributing to numpy a few months ago. From using numpy, I found some things that I thought should be added/improved. I researched them and the associated numpy code enough to be confident I would be capable of making the change (some of the C code is intense). Before I got too far along, I posted an issue and got feedback from the experts. Then I did it. On Tue, Feb 21, 2017 at 12:01 AM, Ralf Gommers <ralf.gommers@gmail.com> wrote:
On Tue, Feb 21, 2017 at 7:32 AM, ashwin.pathak < ashwin.pathak@students.iiit.ac.in> wrote:
Hello all, I am new to this organization and wanted to start with some easy-fix issues to get some knowledge about the soruce code. However, the issues under easy-fix labels have already been solved or someone is at it. Can someone help me find such issues?
Hi Ashwin, welcome. I don't want to seem discouraging, but I do want to explain that NumPy is significantly harder to get started on than SciPy (which you've started on already) as a newcomer to the scientific Python ecosystem. So I'd encourage you to spend some more time on the SciPy issues - there are more easy-fix ones there, and the process of contributing (pull requests, reviews, finding your way around the codebase) is similar for the two projects.
Cheers, Ralf
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participants (3)
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ashwin.pathak -
Matthew Harrigan -
Ralf Gommers