About the apply in GSoD

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About the apply in GSoD

Christian Nakata
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

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Re: About the apply in GSoD

Melissa Mendonça
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 [hidden email] . 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 <[hidden email]> 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
[hidden email]
https://mail.python.org/mailman/listinfo/numpy-discussion

_______________________________________________
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[hidden email]
https://mail.python.org/mailman/listinfo/numpy-discussion
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Re: 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 <[hidden email]> 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 [hidden email] . 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 <[hidden email]> 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
[hidden email]
https://mail.python.org/mailman/listinfo/numpy-discussion

_______________________________________________
NumPy-Discussion mailing list
[hidden email]
https://mail.python.org/mailman/listinfo/numpy-discussion