Adapt to IFT Worskhop

README.rst

-*******************************************
-Python San Sebastian 2017 - Python workshop
-*******************************************
+***************************************************************
+Software Carpentry Workshop - Institute for Theoretical Physics
+***************************************************************
 
-:Date & place: Materials Physics Center (CFM) Auditorium - San Sebastian, 6th October, 9:15h - 17:30h
+: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>, Alex Savio <alex.savio@gmail.com> and Gabriel de Maeztu <gabriel.maeztu@gmail.com>
+:Instructors: 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**, instructors Alex Savio and Gabriel de Maeztu.
-
-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.
-
-
-.. _`Plotting and Programming in Python`: http://swcarpentry.github.io/python-novice-gapminder/
-
-
-Evening session
-###############
-
-**Introduction to Scientific Python**, instructor Inigo Aldazabal.
+   
+Abstract
+########
 
 Introductory lesson for Scientific Computing with Python based on the `SciPy`_
 stack having four parts:
@@ -50,21 +24,18 @@ stack having four parts:
 * 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.
 
-Schedule
-########
+**Targeted audience**: scientific and technical people interested in 
+computing, data analysis, task automation,...
 
-.. csv-table::
+**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.
 
-    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
 #######
@@ -73,6 +44,7 @@ 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
@@ -82,6 +54,6 @@ International 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`: http://iamc.eu/2017-06-28-cfmehu/#python
+.. _`installation instructions`: https://adgdt.github.io/2017-10-25-ift/#setup