About the scipy lecture notes¶
- Rework of intro chapter (Gaël Varoquaux)
- Integrate sphinx-gallery: examples are now Jupyter notebooks (Gaël Varoquaux, Gerg-Ludwig Ingold, Óscar Nájera)
- Better Python 3 tests and support (Gert-Ludwig Ingold)
- Adapt examples to Matplotlib 1.5 (Gaël Varoquaux)
- Modernize numpy chapter (Bartosz Telenczuk)
Release 2015.3 (November 2015)¶
- Collapsed sidebar can now pop up for mid-sized display (Gaël Varoquaux)
- Replaced pictures of Lena by racoon face (Thouis Jones)
Release 2015.2 (October 2015)¶
- Authors on cover ordered as in bibtex entry (Nicolas Rougier)
- Better rendering on mobile (Gaël Varoquaux)
- Fix restructured text markup errors (Olav Vahtras)
Release 2015.1 (September 2015)¶
- New chapter on statistics with Python (Gaël Varoquaux)
- Better layout in PDF (Gaël Varoquaux)
- New HTML layout, simplified formatting, mobile-friendly and sidebar (Gaël Varoquaux, Nelle Varoquaux)
- Logos on the HTML front page and on the PDF cover (Nicolas Rougier)
- Python 3 compatible code (Gaël Varoquaux, Olav Vahtras)
- Code put up to date for more recent versions of project (Pierre de Buyl, Emmanuelle Gouillart, Gert-Ludwig Ingold, Nicolas Pettiaux, Olav Vahtras, Gaël Varoquaux, Nelle Varoquaux)
- Matplotlib updated with removal of deprecated pylab interface (Nicolas Rougier)
Release 2013.2 (21 August 2013)¶
- Numpy chapter simplified (Valentin Haenel)
- New layout for the HTML rendering (Gaël Varoquaux)
Release 2013.1 (10 Feb 2013)¶
- Improvements to the advanced image manipulation chapter (Emmanuelle Gouillart)
- Upgrade of the introductory language chapter (Valentin Haenel)
- Upgrade of the introductory numpy chapter (Valentin Haenel)
- New advanced chapter on interfacing with C (Valentin Haenel)
- Minor fixes and improvements in various places (Robert Gieseke, Ozan Çağlayan, Sergio Oller, kikocorreo, Valentin Haenel)
Release 2012.3 (26 Nov 2012)¶
This release integrates the changes written for the Euroscipy conference:
- Matplotlib chapter completely redone (Nicolas Rougier, Gaël Varoquaux)
- New advanced chapter on mathematical optimization (Gaël Varoquaux)
- Mayavi chapter redone (Gaël Varoquaux)
- Front page layout slightly improved: folding TOC (Gaël Varoquaux)
Release 2012.2 (22 Jun 2012)¶
Minor release with a few clean ups (Gael Varoquaux).
Release 2012.1 (20 Jun 2012)¶
This is a minor release with many clean ups. In particular, clean up of the layout (Gael Varoquaux), shortening of the numpy chapters and deduplications across the intro and advanced chapters (Gael Varoquaux) and doctesting of all the code (Gael Varoquaux).
Release 2012.0 (22 Apr 2012)¶
This is a minor release with a few clean ups. In particular, clean up the scikit-learn chapter (Lars Buitinck), more informative section titles (Gael Varoquaux), and misc fixes (Valentin Haenel, Virgile Fritsch).
Release 2011.1 (16 Oct 2011)¶
This release is a reworked version of the Euroscipy 2011 tutorial. Layout has been cleaned and optimized (Valentin Haenel and many others), the Traits chapter has been merged in (Didrik Pinte)
Release 2011 (1 Sept 2011)¶
This release is used for the Euroscipy 2011 tutorial. The numpy introductory chapter has been rewamped (Pauli Virtanen). The outline of the introductory chapters has been simplified (Gaël Varoquaux). Advanced chapters have been added: advanced Python constructs (Zbigniew Jędrzejewski-Szmek), debugging code (Gaël Varoquaux), optimizing code (Gaël Varoquaux), image processing (Emmanuelle Gouillart), scikit-learn (Fabian Pedregosa).
All code and material is licensed under a
Creative Commons Attribution 4.0 International License (CC-by)
See the AUTHORS.rst file for a list of contributors.
The SciPy lecture notes are a community-based effort and require constant maintenance and improvements. New contributions such as wording improvements or inclusion of new topics are welcome.
guide contains instructions on how to contribute:
To generate the html output for on-screen display, Type:
the generated html files can be found in
The first build takes a long time, but information is cached and subsequent builds will be faster.
To generate the pdf file for printing:
The pdf builder is a bit difficult and you might have some TeX errors.
Tweaking the layout in the
*.rst files is usually enough to work
around these problems.
- sphinx (>= 1.0)
- scikit-learn (>= 0.8)
Building on Fedora
yum install python make python-matplotlib texlive-pdfjam texlive scipy \ texlive-framed texlive-threeparttable texlive-wrapfig texlive-multirow pip install Sphinx pip install Cython pip install scikit-learn pip install scikit-image