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Pyhton San Sebastian 2015 - Scientific Python tutorial track
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:Autor: Iñigo Aldazabal Mensa <inigo_aldazabal@ehu.eus>


Abstract
########

Introductory track for Scientific Computing with Python based on the `SciPy`_
stack having four parts:

* A short overview to some of the `SciPy`_ ecosystem core packages.

* A quick start guide to `IPython`_ web based interactive computational environment, i.e. `IPython notebooks`_, which will allow the participants to follow along the rest of the tutorial.

* Oier Etxaniz introduction to `NumPy`_ (`tutorial material`_).

* A very short practical introduction to `Matplotlib`_.

* A guided hands-on demostration of some of the `SciPy library`_ subpackages.


The participants are encouraged to follow the hands-on parts in their laptops.
For this is enough with just having the `Anaconda`_ Python scientific stack
installed. Please use the Python 3.4 version for your platform.



**Targeted audience**: scientific and technical people interested in scientific
computing, data analysis, task automation,...

**Content level**: beginner

**Audience prerequisites**: basic general programming knowledge. Python knowledge is
desirable but not essential if you have experience with any other programming languaje.



License
#######

This work is licensed under a `Creative Commons Attribution 4.0 International
License`_.


.. _`Creative Commons Attribution 4.0 International License`: http://creativecommons.org/licenses/by/4.0/
.. _`SciPy`: http://www.scipy.org
.. _`Anaconda`: https://www.continuum.io/downloads
.. _`Matplotlib`: http://matplotlib.org/
.. _`SciPy library`: http://www.scipy.org/scipylib/index.html
.. _`IPython`: http://ipython.org
.. _`IPython notebooks`: http://ipython.org/notebook.html
.. _`tutorial material`: https://github.com/PythonSanSebastian/numpy_euroscipy2015
.. _`NumPy`: http://www.numpy.org/
