We 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.
Instructions for Reviewers
- Click on the Pull Requests Tab and browse to find the papers assigned to you
- After reading the paper, you can start the review conversation by simply commenting on the paper, taking into consideration this set of suggested review criteria.
- Authors will then respond to the comments and/or modify the paper to address the comments.
- This will begin an iterative review process where authors and reviewers can discuss the evolving submission.
- Reviewers may also apply one of the labels 'needs-more-review', 'pending-comment', or 'unready' to flag the current state of the review process.
- Only once a reviewer is satisfied that the review process is complete and the submission should be accepted to the proceedings, should they affix the 'ready' label.
- Reviewers should come to a final 'ready', 'unready' decision before July 10th at 18:00 PST.
Instructions for Authors
Submissions must be received by Nov 15th at 23:59 PST, but modifications are allowed during the open review period which ends Dec 15th at 18:00 PST. Submissions are considered received once a Pull Request has been opened following the procedure outlines below.
Papers are formatted using reStructuredText and the compiled version should be no longer than 25 pages, including figures. Here are the steps to produce a paper:
Fork the pydata-cookbook repository on GitHub.
An example paper is provided in
papers/00_vanderwalt. Create a new directory
papers/firstname_surname, copy the example paper into it, and modify to your liking.
./make_paper.sh papers/firstname_surnameto compile your paper to PDF (requires LaTeX, docutils, Python--see below). The output appears in
Once you are ready to submit your paper, file a pull request on GitHub.
Please do not modify any files outside of your paper directory.
Authors may make changes to their submissions throughout the review process.
There are many different styles of review (some do paragraph comments, others do 'code review' style line edits) and the process is open.
We encourage authors and reviewers to work together iteratively to make each others papers the best they can be. Combine the best principles of open source development and academic publication.
These dates are the
- Sept 1st - Initial PR with title, abstract, and authors
- Nov 15th - Initial submissions
- Nov 22th - Reviewers assigned
- Dec 30th - Reviews due
- Dec 30th- Jan 31st: Authors revised papers based on reviews
- Feb 1th - Submission for publication
- All figures and tables should have captions.
- License conditions on images and figures must be respected (Creative Commons, etc.).
- Code snippets should be formatted to fit inside a single column without overflow.
- Avoid custom LaTeX markup where possible.
A small subcommittee of the SciPy 2016 organizing committee has created this set of suggested review criteria to help guide authors and reviewers alike. Suggestions and amendments to these review criteria are enthusiastically welcomed via discussion or pull request.
Please refer to the example paper in
examples of how to:
- Label figures, equations and tables
- Use math markup
- Include code snippets
- IEEETran (often packaged as
texlive-publishers, or download from CTAN) LaTeX class
- AMSmath LaTeX classes (included in most LaTeX distributions)
- alphaurl (often packaged as
texlive-bibtex-extra, or download from CTAN) urlbst BibTeX style
docutils0.8 or later (
pygmentsfor code highlighting (
- Due to a bug in the Debian packaging of
pdfannotextractor, you may have to execute
pdfannotextractor --installto fetch the PDFBox library.
On Debian-like distributions:
sudo apt-get install python-docutils texlive-latex-base texlive-publishers \ texlive-latex-extra texlive-fonts-recommended \ texlive-bibtex-extra
Note you will still need to install
pip even on a Debian system.
On Fedora, the package names are slightly different
su -c `dnf install python-docutils texlive-collection-basic texlive-collection-fontsrecommended texlive-collection-latex texlive-collection-latexrecommended texlive-collection-latexextra texlive-collection-publishers texlive-collection-bibtexextra`
To be added
To build the whole proceedings, see the Makefile in the publisher directory.
This repo was lovingly copied from the excellent scipy-proceedings. It retains the BSD license from that project and uses the same license for all contributions.