[Numpy-discussion] About the apply in GSoD

[Melissa Mendonça]

(Oh, and if you need help contributing/submitting pull requests/navigating
git, don't hesitate to ask and we'll guide you around!)

On Thu, Jun 25, 2020 at 10:03 AM Melissa Mendonça <melissawm at gmail.com>
wrote:

> Hello Christian,
>
> Thanks for your interest in our Google Season of Docs projects. It is
> great to hear from you!
>
> 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 July 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 at googlegroups.com . Any 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).
>
>
> Welcome!
>
>
>
> On Wed, Jun 24, 2020 at 7:12 PM Christian Nakata <
> christian.nakata.acbs at gmail.com> wrote:
>
>> Hello members of Numpy Community
>>
>> My name is Christian Takashi Nakata
>> Currently, I'm working with computer vision in my master's degree and
>> your project ideas for the GSoD caught my attention.
>> I've always wanted to work on open source projects, especially in
>> libraries that I usually use.
>>
>> I would like to begin contributing to the Numpy documentation.
>> However, I never worked with open source projects and I wanted to know
>> where I should begin to write a GSoD project proposal.
>>
>> I would like to work with refactoring the current documentation aimed at
>> beginners.
>> For example, in my opinion, the page "NumPy: the absolute basics for
>> beginners" is too verbose.
>> The amount of information on that page can blur useful information from
>> beginner users.
>> The page could be divided into subtopics that jump to other pages,
>> minimizing the amount of information that the user will face for the first
>> time.
>>
>> Together, I intend to create new How Tos so that beginners will find it
>> easier to work with the library.
>> E.g. finishing the "How to read and write data using NumPy" page.
>>
>> Best regards,
>> Christian T. Nakata
>> _______________________________________________
>> NumPy-Discussion mailing list
>> NumPy-Discussion at python.org
>> https://mail.python.org/mailman/listinfo/numpy-discussion
>>
>
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