Hi there, Man AHL is organizing a hackathon for various projects around PyData, including NumPy (but also SciPy, etc.: https://www.ahl.com/hackathon). They have generously offered some funding to get some contributors to help. Not many current contributors from NumPy could make the trip, so I agreed to help. As I have not contributed in NumPy for sometimes, I think it would make more sense for me to help onboarding new contributors that may be interested, and also do some code reviews instead of contributing directly. I see that we already have > 30 bugs labeled as easy, which would be a good starting point. Is there particular areas where we should focus ? regards, David
On Fri, Apr 6, 2018 at 9:51 PM, David Cournapeau
Hi there,
Man AHL is organizing a hackathon for various projects around PyData, including NumPy (but also SciPy, etc.: https://www.ahl.com/hackathon).
They have generously offered some funding to get some contributors to help. Not many current contributors from NumPy could make the trip, so I agreed to help. As I have not contributed in NumPy for sometimes, I think it would make more sense for me to help onboarding new contributors that may be interested, and also do some code reviews instead of contributing directly.
I see that we already have > 30 bugs labeled as easy, which would be a good starting point. Is there particular areas where we should focus ?
regards,
David
If you don't get caught up in onboarding developers, code review would be helpful. We have a real problem trying to keep up. Chuck
participants (2)
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Charles R Harris
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David Cournapeau