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

[Ralf Gommers]

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.

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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