[Numpy-discussion] Numpy Participation in Google Season of Docs 2022
Good Day Everyone in the mailing list and the Numpy Community, I am a recent joiner on the mailing list. I tried to see other messages in different threads to see if this question was discussed anywhere else. But I couldn't find any. So, taking this opportunity to ask. Query 1: Will the Numpy community participate in the Google Season of Docs 2022 as it did in 2021. I have also come to know that there are bi-weekly community meetings within Numpy. The most recent one happened on 2nd June. I am looking forward to joining the most upcoming one. Query 2: Is the community maintaining a summary for each meeting. In short, noting down what essential points were discussed in single line format? If it already exists, I would I love to be caught up with them. Regards, Bhavuk Kalra ___ NumPy-Discussion mailing list -- numpy-discussion@python.org To unsubscribe send an email to numpy-discussion-le...@python.org https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ Member address: arch...@mail-archive.com
[Numpy-discussion] Re: Numpy Participation in Google Season of Docs 2022
Hello Melissa, Thank you for such a warm welcome. I am looking forward to joining the community calls on 9 March - Community Calls 10 - March - Newcomers Calls and of course 14 March - Documentation Team Meeting. I have started contributing to the Documentation for NumPy and have made a Pull Request for the same. Reference - https://github.com/numpy/numpy/pull/21167. If voluntary community Meeting Notes Taker are allowed then do let me know. Once again, Thank you for such a warm welcome! Looking forward to meeting you in the community calls. Regards, Bhavuk Kalra ___ NumPy-Discussion mailing list -- numpy-discussion@python.org To unsubscribe send an email to numpy-discussion-le...@python.org https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ Member address: arch...@mail-archive.com
[Numpy-discussion] Suggestions/Views on a Numpy-Tutorial Idea Draft.
Good Day Everyone in the Mailing List,
This message is sent to the mailing list to get valuable insights from everyone
present here on whether to write the Draft for a Numpy-Tutorial.
I was going through the type of contributions that are required by the community
Discussed in - https://numpy.org/neps/nep-0044-restructuring-numpy-docs.html
and Numpy Tutorials was one of them.
Seeing this, In the past, I had worked on Classifying a fruit such as("apple"
"mango") based on specific given characteristics using a scratch implementation
of KNN. KNN as an algorithm I feel is relatively simple to learn. Do let me
know If I could start working towards this tutorial and It's something that
could add value to the tutorials and the community.
I also made a .ipynb notebook to refer to what Implementation would be covered
in the tutorial.
(Note - It is pretty raw, the actual tutorial will be much more thorough. This
is to give a general Idea)
Link -
https://github.com/bhavukkalra/Genetic_Algorithms/blob/main/AI_assign2/KNN.ipynb
Regards,
Bhavuk Kalra
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