User stories - tracking issue

[rgommers]

User stories must have acceptance criteria and a definition of "done."

[InessaPawson]

User Story No. 1
Lotte is a library author that depends on NumPy. She is looking for
information about major changes and a release date of the next version of
NumPy. She would like to easily find it on the website instead of
contacting the core team.

[InessaPawson]

User Story No. 2
Yu Yan was introduced to NumPy in her first week of the Foundations of
Data Science class. She is looking for a NumPy tutorial for absolute
beginners in Mandarin.

[InessaPawson]

User Story No. 3
Tiago is a software developer. By day, he builds enterprise applications
for a Fortune 100 company. By night, he cultivates his academic interests
in statistics and computer science using various Python libraries. Tiago
has an idea for a new NumPy feature and would like to implement it. He is
looking for information on how to contact the person(s) in charge of such
decisions.

[rgommers]

User Story No. 4

Let me try one:)

Maria is a lecture in the new Data Science department. She needs to teach an introductory class about NumPy and numerical computing to students that know basic Python and math. She is looking for material that can be used for in-person teaching in class, rather than tutorials aimed at self-learning.

[mattip]

User Story No. 5

John is a data scientist, consuming libraries that use python like TensorFlow. He is running into a problem in his code that emits some strange error, and the traceback shows an exception from NumPy. What should his next step be? When should he open an issue on the NumPy issue tracker?

[WarrenWeckesser]

User Story No. 6

I am a NumPy and SciPy developer, and although I have been using NumPy for many years, I still have occasion to check the online reference documentation for a function in the latest released version. I would like to be able to get to the API documentation with just one click from the main page (https://numpy.org/).

For a nice example of what I would find useful, take a look at the pandas web page. The links to the reference documentation are right there in a box on the right side. With just one click I can get to the reference docs of the latest released version (or the development version, or older versions, too).

[zjpoh]

User Story No. 7

I would like to contribute to NumPy more actively. Since NumPy is such a huge beast, wrapping my head around the functionalities of NumPy is really challenging. I think having a high-level overview / descriptions of NumPy and each of the module would be very helpful. Also, it would be great if C API documentation could have more structure, maybe something to python API. I found it hard to browse through the C APIs.

Adding to @WarrenWeckesser comment, I also like the way scikit-learn webpage separate out the API documentation from tutorial and have links from API to tutorials and examples. Maybe it's just because I'm more familiar with their docs.

[hameerabbasi]

User Story No. 8

Kartoffel Schmidt is a data scientist/researcher who's writing code for NumPy, and he knows that at some point, he may have to translate his code to use distributed computing, GPU computing or sparse computing. What guidelines should he follow to make sure that his code will be portable across Dask, CuPy or PyData/Sparse in the future?

[InessaPawson]

User Story No. 9
Christopher writes a monthly column on technology and science in WIRED. His next story is covering the subject of Data Science. He is looking for the interview subjects within the open source Python community who are recognized experts, pioneers, and evangelists for the field.

[InessaPawson]

User Story No. 10
Daphne is preparing a keynote speech for the upcoming conference. She needs a high-resolution copy of the NumPy logo to add to her slides.

[InessaPawson]

User Story No. 11
As a data scientist, Anika needs to stay up-to-date on the latest information about the software packages and libraries she uses at work. Anika would like to receive it in her inbox.