[Numpy-discussion] Opportunities for a NumPy sprint in Japan
cournape at gmail.com
Thu Mar 12 02:14:21 EDT 2020
Le jeu. 12 mars 2020 à 13:17, Charles R Harris <charlesr.harris at gmail.com>
a écrit :
> Hi David,
> On Wed, Mar 11, 2020 at 8:43 PM David Cournapeau <cournape at gmail.com>
>> Hi there,
>> My current employer is organizing regular "hack weeks" where engineers
>> can work on the projects of their choice. My team is using a lot of pydata
>> tools, including numpy, so contributing to NumPy would be natural. Before I
>> decide to add NumPy as a project, I want to make sure it does not create
>> more burden for the maintainers, the goal is to help the project, and for
>> my team's members to help them contributing to OSS in "proper way".
>> I would have time to prepare the hack week, making sure we prepare good
>> PRs, and even use this time to actually review existing PRs myself. While I
>> have been away from the project for a long time, I should still be able to
>> review code, help my team building / testing / debugging, etc.
>> Does that sound useful ?
>> The first hack week would be held from 23th to 27th March, in Tokyo.
>> Everybody would be remote because of the coronavirus, so except for time
>> difference, if it makes sense, people outside of my employer could join.
> Good to hear from you. We always appreciate help, especially if it comes
> with some experience :) It would also be helpful if you reviewed the NEPs
> dealing with dtypes. We don't get as much feedback from users as we would
> like and if you are using a lot of the open source tools your perspective
> could be very helpful. Keep us informed, and maybe toss around some ideas
> for discussion. We have community meetings on zoom every Wednesday at 12:00
> noon Pacific time, so you may want to drop in if the time works for you.
So to clarify, I am expecting to have people from my team making most of
the contributions. In this case, since people are not so familiar w/ the
internal of NumPy, I was thinking more about bugs / docs / etc. than the
hard stuff like dtype.
I will try to join the meeting next week though (where are the info to join
> NumPy-Discussion mailing list
> NumPy-Discussion at python.org
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