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Software Carpentry Workshop - San Sebastian 2016 - Scientific Python Lesson
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:Date & place: Software Carpentry Workshop - San Sebastian 2016, 27-29th June
               2016 (`workshop webpage`_)
:Track: Scientific Python Lesson, June the 29th morning track
:Autor: Iñigo Aldazabal Mensa <inigo_aldazabal@ehu.eus>

Abstract
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Introductory lesson 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 short review to the `Jupyter notebooks`_ web based interactive computational environment.

* 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.


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`_.


.. _`Workshop webpage`: http://iamc.eu/2016-06-27-cfmehu
.. _`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
.. _`Jupyter`: http://jupyter.org
.. _`Jupyter notebooks`: http://ipython.org/notebook.html
.. _`tutorial material`: https://github.com/PythonSanSebastian/numpy_euroscipy2015
.. _`NumPy`: http://www.numpy.org/
.. _`SciPy 2013 Tutorial`: https://github.com/esc/scipy2013-tutorial-numpy-ipython
