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Software Carpentry Workshop - Institute for Theoretical Physics
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:Date & place: Software Carpentry Workshop - Institute for Theoretical Physics,
               25-27th Octiber 2017 (`workshop webpage`_)
:Content: Introduction to Python and Scientific Python
:Instructors: Iñigo Aldazabal Mensa <inigo.aldazabalm@ehu.eus>
              
   
Abstract
########

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

* An overview of the Scientific Python (`SciPy`_) ecosystem.

* An introduction to `NumPy`_, based on Valentin Haenel's `SciPy 2013
  Tutorial`_.

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

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


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. Installation is straightforward and you can follow eg. this `installation instructions`_. Please use the Python 3 version for your platform.

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

**Content level**: beginner

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


License
#######

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


.. _`workshop webpage`: https://adgdt.github.io/2017-10-25-ift/
.. _`Creative Commons Attribution-ShareAlike 4.0 International License`: http://creativecommons.org/licenses/by-sa/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
.. _`Jupyter notebooks`: https://jupyter.org
.. _`tutorial material`: https://github.com/PythonSanSebastian/numpy_euroscipy2015
.. _`NumPy`: http://www.numpy.org/
.. _`SciPy 2013 Tutorial`: https://github.com/esc/scipy2013-tutorial-numpy-ipython
.. _`installation instructions`: https://adgdt.github.io/2017-10-25-ift/#setup


