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
> On Tue, Feb 21, 2017 at 7:32 AM, ashwin.pathak <
> ashwin.pat...@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.
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