Mailman 3 May 2021 - NumPy-Discussion

NumPy Development Meeting Wednesday - Triage Focus
by Sebastian Berg May 5, 2021

May 5, 2021

Hi all, Our bi-weekly triage-focused NumPy development meeting is Wednesday, May 5th at 11 am Pacific Time (18:00 UTC). Everyone is invited to join in and edit the work-in-progress meeting topics and notes: https://hackmd.io/68i_JvOYQfy9ERiHgXMPvg I encourage everyone to notify us of issues or PRs that you feel should be prioritized, discussed, or reviewed. Best regards Sebastian

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NumPy Proposal
by KiranKhanna May 5, 2021

May 5, 2021

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Prospective technical writer for GSoD 2021 under NumPy
by Ronnie Gandhi May 4, 2021

May 4, 2021

Hello, I am Ronnie Gandhi, a Computer Science undergrad from IIT Roorkee in my final year.I am interested in working on NumPy's documentation problem statement "HIGH-LEVEL RESTRUCTURING AND END-USER FOCUS - NumPy". I have successfully completed *GSoD2020 <https://developers.google.com/season-of-docs/docs/2020/participants/project…>*(my display name is Krezhairo) under *LibreOffice*, I have done* GSoC 2019*, and *2020 *under CGAL, and I have been contributing to open-source development for quite a while. I have also done Data Science internships at *Microsoft*, Hyderabad in 2019 and 2020. I am very well versed with GitHub, git, and CLI tools. Also from my past GSoD2020 experience I know Sphinx, Markdown, reStructuredText, XML as well. In terms of technical writing experience, - Under the Season of Docs 2020 program, I was given an opportunity to populate the wiki pages for the Calc functions of LibreOffice. I updated and populated the wiki pages for 340 of Calc functions in many categories for which the documentation was quite shallow and incomplete on the wiki pages. - For some of the examples of previous technical writing that I have successfully completed in GSoD 2020 under LibreOffice where I edited/populated 340+ sparse wiki pages of Calc functions. Some of the examples are as follows: - https://wiki.documentfoundation.org/Documentation/Calc_Functions/YIELDDISC - https://wiki.documentfoundation.org/Documentation/Calc_Functions/CHIDIST - https://wiki.documentfoundation.org/Documentation/Calc_Functions/SIN - https://wiki.documentfoundation.org/Documentation/Calc_Functions/DAVERAGE - https://wiki.documentfoundation.org/Documentation/Calc_Functions/Guidelines If you want to look into more examples, you can find them here: https://wiki.documentfoundation.org/Documentation/Calc_Functions/List_of_Fu… (this is the new link where the "Find Functions" page is shifted sorry for the blank page) - I have also had created the developer docs as a part of my GSoC2019 and GsoC2020 program updating my progress under CGAL org. (some screenshots to the work since it is behind login wall <https://drive.google.com/drive/folders/1UtuD_6Hu59hJwdzqumSkVyRJeNcDxT5c?us…>)(although no important data) For my c++ experience, - My GSoC2019 <https://summerofcode.withgoogle.com/archive/2019/projects/4989489175330816/> and GSoC2020 <https://summerofcode.withgoogle.com/archive/2020/projects/5667696160538624/> projects were completely in C++ and Qt5 (my display name is Krezhairo). For my python experience, - As a data scientist intern at Microsoft, a large part of my work was in python and jupyter notebook. I have had multiple occasions to use NumPy. My GitHub link: https://github.com/RonnieGandhi I am attaching my detailed resume for your reference. Looking forward to hearing from you soon. Kind regards, Ronnie

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GSoD '21 Statement of Interest
by Mukulika Pahari May 4, 2021

May 4, 2021

Hello everyone, I am attaching my Statement of Interest for GSoD 2021 below. I would love to know everyone's thoughts on it. Thank you!

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Catching array shape errors using the type checker
by Matthew Rahtz May 4, 2021

May 4, 2021

Hi all, Tl;dr: come to our talk *Catching Tensor Shape Errors Using the Type Checker* at the PyCon 2021 Typing Summit next week! https://us.pycon.org/2021/summits/typing/ Longer version: over the past year a small group of us have been thinking about how to use Python's type system to make tensor/array shape information more visible, and to catch shape errors automatically using type checkers. In this talk we'll discuss our tentative solution, talking about a) how it works, b) some examples of what it looks like in practice, and c) what its limitations are. Hope to see you there! Matthew and Pradeep

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