John,

One issue with your proposal is that SymPy doesn't (at least explicitly) do
any of the things you mention.

Jason
moorepants.info
+01 530-601-9791


On Tue, Jul 7, 2020 at 12:26 PM John Yoon <johnyoo...@gmail.com> wrote:

> My tutorials/guides would primarily focus on classical machine learning
> and data science problems. There are several Kaggle beginner projects (i.e.
> housing price prediction through regression, or image classification) that
> are implemented through Python and the usual popular libraries like numpy,
> matplotlib, etc. Through my Season of Docs project, I would take those
> implementations and step-by-step translate them into SymPy to achieve
> similar results. This process should highlight several of the most common
> use cases of SymPy's user base, and help new adopters to transition more
> smoothly.
>
> On Tuesday, July 7, 2020 at 2:16:43 PM UTC-4, Nikhil Maan wrote:
>>
>> Hi John,
>>
>> Thanks for showing interest in improving SymPy's documentation. Can you
>> tell us a little about what kind of tutorials/guides your project would be
>> focused on?
>>
>> As for incorporating the notebooks, there was a previous discussion at
>> https://groups.google.com/forum/#!topic/sympy/_5RcJXGOgP4
>> The plan is to move all the notebooks to the
>> https://github.com/sympy/sympy-notebooks repository so that all the
>> notebooks can be at a single standard place. So, I think it will be a good
>> idea to have any notebooks you create as a part of the project at the same
>> repo.
>>
>> Also, just to make sure, the deadline for the application is in 2 days,
>> on July 9, 2020, 18:00 UTC
>>
>> Regards,
>> Nikhil Maan
>>
>> On Tuesday, July 7, 2020 at 5:46:04 AM UTC+5:30, John Yoon wrote:
>>>
>>> Hello, my name is John Yoon, and I would like to express my interest in
>>> contributing to your team for Google’s Season of Docs. Among SymPy’s
>>> various projects, the one focusing on High Level Documentation seems
>>> particularly fascinating and full of potential for innovation.
>>>
>>> My combined background as both an English major and Computer Science
>>> major would prove useful for the task at hand. Similarly, my prior big data
>>> internship in a research setting at Oregon State University’s Center for
>>> Genome Research and Biocomputing have fostered my Python and data skills.
>>> Furthermore, I currently work as a cloud reliability engineer at NYC’s
>>> cybersecurity agency, which has developed a familiarity working with Git,
>>> as well as documenting my Python implementations of Cloud Functions.
>>> Consequently, I offer a unique perspective with which to approach this
>>> project.
>>>
>>> My analysis of the project description resulted in a precursory plan to
>>> focus on three primary areas: identifying the most common and useful use
>>> cases of SymPy, develop documentation and tutorials for the aforementioned
>>> cases (i.e., Jupyter notebooks or diagrams), and refactoring any existing
>>> documentation relevant to the most important use cases. Per an earlier
>>> conversation I had with Aaron, I am curious about the team's opinion on
>>> setting the precedence of incorporating Jupyter notebooks into the
>>> project's documentation in order to facilitate more tangible and
>>> interactive tutorials.
>>>
>>> I would enjoy speaking further about this project to either narrow or
>>> broaden the scope of the team’s documentation endeavors, and to also get a
>>> better understanding of the organization’s workflows and culture. Please
>>> feel free to contact me to discuss further, so I may have a better
>>> understanding of the project prior to the formal application submission
>>> later this week. I have attached my resume and two documentation
>>> samples for your consideration. Thank you.
>>>
>>>
>>> Best,
>>>
>>> John
>>>
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