===== Introductory Material =====
You should be familiar with the following materials to participate:

=== Scientific Python ===

  * [[http://scipy-lectures.github.com/intro/intro.html|Scientific computing with tools and workflow]]\\
  * [[http://scipy-lectures.github.com/intro/language/python_language.html|The Python language]]\\
  * [[http://scipy-lectures.github.com/intro/numpy/numpy.html|NumPy: creating and manipulating numerical data]]\\
  * [[http://scipy-lectures.github.com/intro/help/help.html|Getting help and finding documentation]]

=== git ===

The first six chapters from the [[http://swcarpentry.github.io/git-novice/|The Software Carpentry git introduction]]:

  * [[http://swcarpentry.github.io/git-novice/01-basics.html|Automated Version Control]]
  * [[http://swcarpentry.github.io/git-novice/02-setup.html|Setting up git]]
  * [[http://swcarpentry.github.io/git-novice/03-create.html|Creating a Repository]]
  * [[http://swcarpentry.github.io/git-novice/04-changes.html|Tracking Changes]]
  * [[http://swcarpentry.github.io/git-novice/05-history.html|Exploring History]]
  * [[http://swcarpentry.github.io/git-novice/06-ignore.html|Ignoring Things]]

==== Additional materials ====
Additional materials for the curious:

  * [[http://docs.python.org/tutorial/|Python Tutorial]] - short, easy and comprehensive introduction to Python for programmers
  * [[http://python.net/~goodger/projects/pycon/2007/idiomatic/handout.html|Code Like a Pythonista: Idiomatic Python]] - very informative overview by David Gooder to Python idioms and coding style.
  * [[http://www.pythonchallenge.com/|Pyton Challenge]] - are you already a Python guru? Challenge your Python knowledge with the Python puzzles.
  * [[http://docs.python.org/library/index.html|Library Reference]] - complete reference to Python standard library
  * [[http://www.diveintopython3.net/|Dive into Python 3]]
  * [[http://www.whoishostingthis.com/resources/python/|Python Introduction, Resources and FAQs]] - a catalogue of introductory python materials