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

[Warren Weckesser]

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.

Warren



Cheers,
> 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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