Commit 54b3cc85 authored by Inigo Aldazabal's avatar Inigo Aldazabal

Adapt to full PySS17 workshop

parent f265678d
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Pyhton San Sebastian 2017 - Scientific Python tutorial track
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Pyhton San Sebastian 2017 - Python workshop
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:Date & place: Materials Physics Center (CFM) Auditorium - San Sebastian, 6th October, 14:30-17:30 2017
:Track: Introduction to Scientific Python
:Autor: Iñigo Aldazabal Mensa <inigo.aldazabalm@ehu.eus>
:Date & place: Materials Physics Center (CFM) Auditorium - San Sebastian, 6th October, 9:15h - 17:30h
:Content: Introduction to Python and Scientific Python
:Instructors: Alex Savio <alex.savio@gmail.com> and Iñigo Aldazabal Mensa <inigo.aldazabalm@ehu.eus>
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.
Morning session
###############
**Introduction to Python**, instructor Alex Savio.
General introduction to the Python programming language following the Software
Carpentry `Plotting and Programming in Python`_ lesson. Plotting will be
covered on the evening session.
Abstract
########
.. _`Plotting and Programming in Python`: http://swcarpentry.github.io/python-novice-gapminder/
Evening session
###############
**Introduction to Scientific Python**, instructor Inigo Aldazabal.
Introductory lesson for Scientific Computing with Python based on the `SciPy`_
stack having four parts:
......@@ -23,20 +50,21 @@ stack having four parts:
* 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. 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 but not essential if you have experience with any other programming languaje.
Schedule
########
.. csv-table::
9:15 - 11:00, Introduction to Python
11:00 - 11:30, *Coffee break*
11:30 - 13:00, Introduction to Python (cont.)
.. csv-table::
14:30 - 15:45, Introduction to Scientific Python
15:45 - 16:15, *Coffee break*
16:15 - 17:30, Introduction to Scientific Python (cont.)
License
#######
......@@ -54,6 +82,6 @@ License`_.
.. _`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://swcarpentry-wuerzburg.github.io/2017-04-27-wuerzburg/#python
.. _`installation instructions`: http://iamc.eu/2017-06-28-cfmehu/#python
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