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 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@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!

Hi all, I'd be glad to contribute, if you're still searching. I could use some previous written material I have here. If it is ok, please tell me what I need to do. Kind regards, Alex Em segunda-feira, 29 de agosto de 2016 22:13:56 UTC+2, stefanv escreveu:

Hi everyone

Is anyone interested in writing a scikit-image chapter for the following book?

Stéfan

----- Original message ----- From: Andy Ray Terrel javascript:> 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-...@numfocus.org javascript:.

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 an...@numfocus.org javascript: