[SciPy-Dev] Fwd: PyData Community Cookbook - August Update

[Ralf Gommers]

On Sun, Sep 4, 2016 at 1:57 PM, Warren Weckesser <warren.weckesser at gmail.com
> wrote:

>
>
> On Sat, Sep 3, 2016 at 8:13 PM, Ralf Gommers <ralf.gommers at gmail.com>
> wrote:
>
>> Hi all,
>>
>> Is anyone interested to write or contribute to a chapter about SciPy for
>> a PyData Community Cookbook? We're a bit late (but so are most people), so
>> ideally we get this organized within a day or two. It can be a
>> single-author or multi-author effort. The projects that submitted an
>> abstract so far all seem to do 2 or 3 authors:
>> https://github.com/pydata/pydata-cookbook.
>>
>> I'm happy to contribute, or if there's a lot of interest leave it to
>> others. Would like to see it happen though - SciPy should really not be
>> missing in this book.
>>
>>
>
> I would be happy to contribute.
>
> Andy said "We expect each submission to be about 15 - 20 pages describing
> an example of the power of each library."  SciPy has a pretty diverse
> collection of subpackages, so the first question I have is whether we try
> to find one big example that uses several of the subpackages, or instead
> provide several examples, each focused primarily on one of the subpackages.
>

Either way could work I think. It's related to the choice of which
subpackages to focus on. I'd suggest a selection out of the more polished
and actively developed higher-level ones: interpolate, optimize, signal,
sparse, spatial, stats. Things like linalg, special, fftpack are used
mostly under the hood, hard to make standalone nice examples from. Maybe
two examples of 10 pages each that use 2-3 subpackages?

Ralf


>
>>
>>
>> ---------- Forwarded message ----------
>> From: Andy Ray Terrel <andy at numfocus.org>
>> Date: Sun, Aug 21, 2016 at 12:14 AM
>> Subject: PyData Community Cookbook - August Update
>> To:
>> Cc: pydata-cookbook at numfocus.org
>>
>>
>> Hello everyone,
>>
>> You are receiving this email because you were either invited and
>> committed to join our project. Please feel free to forward this message to
>> a more appropriate list or person. For questions please email
>> pydata-cookbook at numfocus.org.
>>
>> Katy Huff and myself are starting a project to build a cookbook of
>> advanced material for the PyData community. The cookbook will be published
>> by Addison-Wesley. We have invited a number of contributors to see if such
>> a project would have some interest and received overwhelmingly positive
>> feedback.
>>
>> The book will cover several major topics, organized as such, with some
>> sample packages:
>>
>> - IDE: IPython/Jupyter
>> - Data Structures / Numerics: NumPy, Pandas, Xray, PyTables
>> - Viz: Matplotlib, Bokeh, Seaborn, yt
>> - Algorithms / Science: SciPy, Scikit-learn, Scikit-image, statsmodels,
>> sympy, gensim
>> - Performance / Scale: Cython, Numexpr, Numba, Dask, pyspark
>>
>>
>> We expect each submission to be about 15 - 20 pages describing an example
>> of the power of each library. While we have reached out to the projects
>> about putting each submission together we are happy to accept chapters for
>> libraries we did not initially identify.
>>
>> To facilitate the book we have put together a repository for collecting
>> and reviewing submissions at https://github.com/pydata/pydata-cookbook .
>> We are asking for submissions in rst but would appreciate any other files,
>> such as jupyter notebooks or code, for a digital appendix as well.
>>
>> If you read this far and are interested in contributing.  The proposed
>> schedule is the following:
>>
>> Sept 1: Submit a pull request with a title, abstract and author list for
>> the submission.
>> Nov 15: Submit a completed chapter.
>> Dec 31: Reviews for chapters finished.
>> Jan 31: All chapter revisions due.
>>
>> Thanks for you time!
>>
>>
>> --
>> Andy R. Terrel, PhD
>> President, NumFOCUS
>> andy at numfocus.org
>>
>>
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>>
>
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