[113] Contributing to the NumPy Documentation (Mukulika Pahari)
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Contributing to the NumPy Documentation (Mukulika Pahari)
Resources
slides and links to all the resources: https://blog.dataumbrella.org/numpy
NumPy: https://numpy.org
video: [Intro to NumPy Array Operations]( • [40] Intro to NumPy Array Operations (Meen... )
video: [NumPy: Its History, Governance and How to Contribute]( • [19] NumPy: Its History, Governance & How ... )
About the Event
NumPy is a fundamental, open-source Python library for N-dimensional array programming used extensively for data analysis and scientific programming. As a community-driven project, NumPy is mainly sustained by open-source contributions. This talk focuses on avenues of contribution to the
Timestamps
00:00 Data Umbrella introduction
03:15 Mukulika begins her presentation
04:00 Topics to cover (6)
05:12 Brief introduction to NumPy
06:33 NumPy documentation priorities (NEP 44)
11:03 Different types of contributions (7+)
16:23 Resources for first steps
20:11 NumPy-specific tips
22:08 Other NumPy talks available
23:28 Engaging with the community
25:08 Navigating the numpy GitHub repository
27:42 Navigating the NumPy website, contributors guide
30:00 Q&A begins
30:01 Is there an issue template we can follow?
31:06 Do contributors have to reference an existing issue?
32:09 Are there templates for submitting pull requests?
34:00 What are some reasons why beginning with documentation is a great way to start contributing to open-source as opposed to beginning with the code base?
35:47 What do you wish you had known before you first started contributing?
37:14 Could you share the types of NumPy meetings you’ve attended in the past?
38:53 How does contributing pull request reviews count toward experience as opposed to only submitting pull requests?
40:30 How does a community contributor grow to being on the NumPy team?
41:53 Can newcomers get help with reviewing pull requests?
43:20 How different are ‘sprintable’ versus other types of issues?
44:26 Can new contributors organize meetings?
46:30 Can examples from Stack Overflow be included in NumPy documentation?
48:18 Wrap-up
About the Speaker
Mukulika is a maintainer for the NumPy documentation and has been involved in the community since 2021. She is also studying to be an oceanographer and likes working on scientific software. She was a Technical Writer via Google Season of Docs in 2021.
LinkedIn: / mukulikapahari
GitHub: https://github.com/Mukulikaa