Mailman 3 May 2020 - NumPy-Discussion

NumPy 1.19. 0rc1 Release
by Charles R Harris May 18, 2020

May 18, 2020

Hi All, On behalf of the NumPy team I am pleased to announce that NumPy 1.19.0rc1 has been released. This NumPy release is marked by the removal of much technical debt: support for Python 2 has been removed, many deprecations have been expired, and documentation has been improved. The polishing of the random module continues apace with bug fixes and better usability from Cython. Perhaps the most interesting thing for users will be the availability of wheels for aarch64 and PyPY. Downstream developers should use Cython >= 0.29.16 for Python 3.8 support and OpenBLAS >= 3.7 to avoid wrong results on the Skylake architecture. The NumPy Wheels for this release can be downloaded from PyPI <https://pypi.org/project/numpy/1.19.0rc1/>, source archives and release notes are available from Github <https://github.com/numpy/numpy/releases/tag/v1.19.0rc1>. *Contributors* A total of 118 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - Alex Henrie - Alexandre de Siqueira + - Andras Deak - Andrea Sangalli + - Andreas Klöckner + - Andrei Shirobokov + - Anirudh Subramanian + - Anne Bonner - Anton Ritter-Gogerly + - Benjamin Trendelkamp-Schroer + - Bharat Raghunathan - Brandt Bucher + - Brian Wignall - Bui Duc Minh + - Changqing Li + - Charles Harris - Chris Barker - Chris Holland + - Christian Kastner + - Chunlin + - Chunlin Fang + - Damien Caliste + - Dan Allan - Daniel Hrisca - Daniel Povey + - Dustan Levenstein + - Emmanuelle Gouillart + - Eric Mariasis + - Eric Wieser - Erik Welch + - Fabio Zeiser + - Gabriel Gerlero + - Ganesh Kathiresan + - Gengxin Xie + - Guilherme Leobas - Guillaume Peillex + - Hameer Abbasi - Hao Jin + - Harshal Prakash Patankar + - Heshy Roskes + - Himanshu Garg + - Huon Wilson + - John Han + - John Kirkham - Jon Dufresne - Jon Morris + - Josh Wilson - Justus Magin - Kai Striega - Kerem Hallaç + - Kevin Sheppard - Kirill Zinovjev + - Marcin Podhajski + - Mark Harfouche - Marten van Kerkwijk - Martin Michlmayr + - Masashi Kishimoto + - Mathieu Lamarre - Matt Hancock + - MatteoRaso + - Matthew Harrigan - Matti Picus - Max Balandat + - Maximilian Konrad + - Maxwell Aladago - Maxwell Bileschi + - Melissa Weber Mendonça + - Michael Felt - Mike Taves - Nico Schlömer - Pan Jan + - Paul Rougieux + - Pauli Virtanen - Peter Andreas Entschev - Petre-Flaviu Gostin + - Pierre de Buyl - Piotr Gaiński + - Przemyslaw Bartosik + - Raghuveer Devulapalli - Rakesh Vasudevan + - Ralf Gommers - RenaRuirui + - Roman Yurchak - Ross Barnowski + - Ryan + - Ryan Soklaski - Sanjeev Kumar + - SanthoshBala18 + - Sayed Adel + - Sebastian Berg - Seth Troisi - Sha Liu + - Siba Smarak Panigrahi + - Simon Gasse + - Stephan Hoyer - Till Hoffmann + - Tim Hoffmann - Tina Oberoi + - Tirth Patel - Tyler Reddy - Warren Weckesser - Xavier Thomas + - Yilin LI + - Zac Hatfield-Dodds + - Zé Vinícius + - @Adam + - @Anthony + - @Jim + - @bartosz-grabowski + - @dojafrat + - @gamboon + - @jfbu + - @keremh + - @mayeut + - @ndunnewind + - @nglinh + - @shreepads + - @sslivkoff + Cheers, Charles Harris

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Reg: GSoD project discussion
by PRUBHTEJ SINGH May 17, 2020

May 17, 2020

Greetings I have interest in contributing to the project titled:"High level restructuring and end user focus". Kindly request you to guide me for the same . Hoping to hear from you soon Regards Prubhtej Singh

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Documentation Team Meeting - Monday April 6
by Melissa Mendonça May 15, 2020

May 15, 2020

Hi all, This is a reminder that we're having a Documentation Team Meeting next monday, April 6th, at 3PM UTC**. If you wish to join on Zoom, you need to use this link https://zoom.us/j/420005230 Here's the permanent hackmd document with the meeting notes: https://hackmd.io/oB_boakvRqKR-_2jRV-Qjg <https://www.google.com/url?q=https%3A%2F%2Fhackmd.io%2FoB_boakvRqKR-_2jRV-Q…> Hope to see you around! ** You can click this link to get the correct time at your timezone: https://www.timeanddate.com/worldclock/fixedtime.html?msg=NumPy+Documentati… - Melissa

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Google Season of Docs proposals and information
by Melissa Mendonça May 15, 2020

May 15, 2020

Hello all, especially those who recently joined and are interested in our Google Season of Docs projects. It is great to hear from you! For now, all the information you need about the program is in the official GSoD website (https://developers.google.com/season-of-docs), and in our proposal ( https://github.com/numpy/numpy/wiki/Google-Season-of-Docs-2020-Project-Ideas). If you are interested, I would advise working on the following: - Familiarizing yourself with the NumPy docs and the workflow for building them (https://numpy.org/devdocs/dev/howto-docs.html) - Reading NEP 44 to have an idea of the current vision and focus for the docs (https://numpy.org/neps/nep-0044-restructuring-numpy-docs.html) - Working on your own proposal, so we can analyze it later. You have until June 8 to do this, and if you need help or have questions about any of the above, please get in touch so we can help. Make sure you get in touch with the mentors directly by sending your message to numpy-scipy-gsod(a)googlegroups.com . I would also recomment that you attend our Documentation Team meeting taking place next Monday, May 18, at 3PM UTC (more details in a separate message to follow shortly). Welcome! - Melissa

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NumPy wheels for pypy and aarch64.
by Charles R Harris May 15, 2020

May 15, 2020

Hi All, Just a note that NumPy wheels for both pypy and aarch64 are now available in the nightly builds. Chuck

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GSoD Project External tutorial content curation and adaptation
by Siddhartha Kapoor May 15, 2020

May 15, 2020

I was going through the project titled "External tutorial content curation and adaptation" with mentors as Melissa Mendonca Weber, Ralf Gommers. I propose we can do the following - 1. Gather all the info about external tutorials in the form of videos, blogs, etc. any content that can help a user understand numpy would be taken. 2. Categorise all the content into different types, i.e. Video, 3rd party documentation, blogs, etc. 3. Obtain the required permissions to source the content. After this I am not sure as to how to present it to the larger community, we can either go about it as, I was thinking of something like this Add a separate section in the wiki and add all the links along with their descriptions and what it's about Any feedback would be appreciated on this. I am pursuing electronics and communication. I have knowledge of python, html, css, js and react.js, and I have just started contributing to open source. Regards Siddharth Kapoor

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Histogram or other issues
by Alex Rockhill May 15, 2020

May 15, 2020

Hey does anyone forsee any issues with histogram or anything else for this PR: https://github.com/numpy/numpy/pull/16248? <https://urldefense.com/v3/__https://github.com/numpy/numpy/pull/16248?__;!!…> Thanks, Alex Rockhill

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Application Pre-requisites
by Hmrishav Bandyopadhyay May 13, 2020

May 13, 2020

Hi, I am Hmrishav Bandyopadhyay, an Undergrad at Jadavpur University, India. One of the application pre-requisites for applying to GSOD under numpy require me to have technical writing experience. Being a student, I have not had any professional technical writing job or internship per-se but I have been writing tutorials and such in Towards Data Science(Medium) for some time now, most of which have been curated by the website. Does this make me eligible for applying to numpy? Any help or pointers would be highly appreciated. Link to one such blog for reference -- https://towardsdatascience.com/adversarial-latent-autoencoders-4ce12c0abbdd Regards, Hmrishav Bandyopadhyay

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Reg: GSoD-2020-Participation
by PRUBHTEJ SINGH May 13, 2020

May 13, 2020

Greetings, I am interested in contributing towards NumPy's documentation , but I'm still a bit confused on where to start. Request your guidance on the same .Hoping to hear from you soon. Regards Prubhtej Singh

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Google Season of Docs 2020 - New NumPy Community Member
by Themistoklis Spanoudis May 13, 2020

May 13, 2020

Hello everyone! I am very excited to introduce myself to the NumPy community! I am Themistoklis Spanoudis, I come from Greece and I have recently finished my 5-year (Integrated Masters) Degree in Mechanical Engineering at Aristotle University of Thessaloniki. I am very happy to see that NumPy has been selected for Google Season of Docs 2020, because I love scientific computing and Python and I would really like to contribute in one of your GSoD projects. Specifically, what caught my attention is “Creating high-level documentation, such as Tutorials and How-Tos, covering topics that are missing from the official documentation”. I have a pretty clear idea on where I would like to make this project go, but first let me share a few things about my background. My first introduction to scientific computing came during the first year of my studies through a semester course on this topic, based on MATLAB. During that semester I had a lot of course assignments that eventually got me hooked with scientific computing. My journey in this area continued with me getting to know NumPy and Python and choosing a plethora of courses during the following years of my studies that included computational assignments. During those years I built programs that range from Structural Finite Element Analysis, Fatigue Analysis and Lagrangian Dynamics to Statistical Quality Control, Operations Research and Supply Chain Optimization. Moreover, last year I completed my Master Thesis during a 6-month full-time position at Airbus Helicopters in Germany, during which I had the chance to work on flight trajectory optimization and data-driven flight dynamics modelling. This involved a lot of scientific programming building state-space models and defining optimization problems as well as tasks related to working with a large amount of data such as, cleaning, filtering, transforming to extract training examples and utilizing them in various models. Additionally, last summer I participated in Google Summer of Code 2019 with AerospaceResearch, which is an international space community helping realise space exploration. My project involved the development of a software module to be integrated within a research project tackling electric propulsion system optimization for small satellites. The module is responsible for the visualization of genetic algorithm data in order to extract insights about the evolution process that can be used both to improve the algorithm and as heuristics by human designers. This project involved working with evolution data to automatically create static plots as well as animations that are completely configurable through a user-readable XML input file. My work along with other advancements in the research project was published at the 36th International Electric Propulsion Conference. On a similar note, last fall I participated in Google Season of Docs 2019 with OpenSCAD, which is a scripting software for creating solid 3D CAD models. My project involved the creation of a tutorial focused on new OpenSCAD users. My mentors introduced me to the great presentation “What nobody tells you about documentation” by Daniele Procida at PyCon Australia 2017, which was a major influence for my work. Closely following the guidelines of the presentation for the “tutorial” type of documentation and reviewing existing material and references, I developed a hands-on, follow-along tutorial designed to get new users started with creating their own models as soon as possible, while gradually introducing more advanced features and building their confidence by following a steady progression and a consistent style. So that was about my background and experience, let me now say a few words about my plans for this year. For Google Season of Docs 2020 I would like to work with the NumPy community to create a more advanced, application-based tutorial that will serve as the next step to the previous year’s project “NumPy: the absolute basics for beginners”. Having gone through most of the currently available documentation under https://numpy.org/devdocs/index.html as well the external linked educational material, I believe this project would be a great addition to the existing documents. It would help new users understand how NumPy can be used in practice to solve real problems, get them familiar with more advanced features not referenced in the basic tutorial and get them ready to work on their own projects. This tutorial would include step-by-step explanations providing a lot of context to the users as well as follow-along exercises/challenges. The topics presented on this tutorial can be focused around scientific simulation, optimization and data science. In my opinion data science is a stronger candidate for this purpose, since the same techniques and methodologies are directly applicable to a wider audience across different fields, compared to scientific simulation which is more coupled to domain knowledge and could potentially repel users lacking the relevant background. The exact presented cases of course is something to be discussed and adapted to fit the educative flow and the covered material. In order to avoid this introductory message getting too long and to give you a practical idea of what I mean by step-by-step, follow-along explanations as well as by providing context and explaining the thought process behind doing things a certain way, I would like to link to my work from Google Summer of Code 2019 and Google Season of Docs 2019. Google Summer of Code 2019 -Official project listing on Google’s website: https://summerofcode.withgoogle.com/archive/2019/projects/6650127358361600/ -Final report: https://aerospaceresearch.net/?p=1812 -Blog posts presenting the functionality of the developed module through example use cases (highly recommended if you are into genetic algorithms): ---Blog post 1: https://aerospaceresearch.net/?p=1542 ---Blog post 2: https://aerospaceresearch.net/?p=1571 ---Blog post 3: https://aerospaceresearch.net/?p=1785 Google Season of Docs -Official project listing on Google’s website: https://developers.google.com/season-of-docs/docs/2019/participants/project… -Final report: https://github.com/s-themis/Google-Season-of-Docs-2019-Project-Report -Root page of developed tutorial: https://en.m.wikibooks.org/wiki/OpenSCAD_Tutorial -Alternative linking to the individual tutorial chapters through OpenSCAD’s website: https://www.openscad.org/documentation.html I would also like to add here my 100+ page Master Thesis as an additional example of my technical writing work but unfortunately it is currently set confidential by Airbus. I think this is a good overall introduction to my background, my work and my intentions regarding working with NumPy to get the discussion going about the specific project that I would like to complete during this year’s Google Season of Docs program. I would highly appreciate your input, feedback, thoughts and comments. I am looking forward to hearing from you! Best regards, Themistoklis Spanoudis

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