Fwd: PyData Community Cookbook - August Update
Emmanuelle Gouillart
emmanuelle.gouillart at nsup.org
Mon Aug 29 16:44:35 EDT 2016
Hi Stéfan,
is it something that we could re-use for the documentation of
scikit-image, in the user guide for example?
Best
Emma
On Mon, Aug 29, 2016 at 01:13:33PM -0700, Stefan van der Walt wrote:
> Hi everyone
> Is anyone interested in writing a scikit-image chapter for the following book?
> Stéfan
> ----- Original message -----
> From: Andy Ray Terrel <andy at numfocus.org>
> Subject: PyData Community Cookbook - August Update
> Date: Sat, 20 Aug 2016 07:14:58 -0500
> 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!
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