Our next Newcomers' Hour will be held this Thursday, May 4th at 8pm UTC.
Stop by to ask questions, share your progress, celebrate success, or just
to say hi.
To add to the meeting agenda the topics you’d like to discuss, follow the
link: https://hackmd.io/3f3otyyuTte3FU9y3QzsLg?both.
Join the mee
Our next Newcomers' Hour will be held this Thursday, April 6th at 8 pm UTC.
Stop by to ask questions, share your progress, celebrate success, or just
to say hi.
To add to the meeting agenda the topics you’d like to discuss, follow the
link: https://hackmd.io/3f3otyyuTte3FU9y3QzsLg?both.
Join the
Our next Newcomers' Hour will be held this Thursday, March 9th at 8 pm
UTC. Stop
by to ask questions, share your progress, celebrate success, or just to say
hi.
To add to the meeting agenda the topics you’d like to discuss, follow the
link: https://hackmd.io/3f3otyyuTte3FU9y3QzsLg?both.
Join the
Our next Newcomers' Hour will be held tomorrow, February 9th at 8 pm UTC.
Stop by to ask questions or just to say hi.
To add to the meeting agenda the topics you’d like to discuss, follow the
link: https://hackmd.io/3f3otyyuTte3FU9y3QzsLg?both
Join the meeting via Zoom:
https://us06web.zoom.us/j/
Our next Newcomers' Hour will be held this Thursday, January 12th at 8 pm
UTC. Stop by to ask questions or just to say hi.
To add to the meeting agenda the topics you’d like to discuss, follow the
link: https://hackmd.io/3f3otyyuTte3FU9y3QzsLg?both
Join the meeting via Zoom:
https://us06web.zoom.
Our next Newcomers' Hour will be held this Thursday, December 15th at 8 pm
UTC. Stop by to ask questions or just to say hi.
To add to the meeting agenda the topics you’d like to discuss, follow the
link: https://hackmd.io/3f3otyyuTte3FU9y3QzsLg?both
Join the meeting via Zoom:
https://us06web.zoom
The next NumPy Newcomers’ Hour will be held this Thursday, November 17th at
8 pm UTC.
Ross Barnowski, a NumPy maintainer and postdoctoral scholar at Berkeley
Institute for Data Science (UC Berkeley), will talk about the content and
maintenance of the GitHub repository with NumPy tutorials (
https:
