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/