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Python for Data Analysis

A series of IPython notebooks on Python for data analysis geared towards environmental sciences.


National Institute for Water and Atmospheric research

Auckland, New Zealand

Dates and times:

  • Tuesday 28 January 2014, 12:00 - 13:00
  • Thursday 30 January 2014, 12:00 - 13:00
  • Monday 3 February 2014, 14:00 - 15:00
  • Tuesday 4 February 2014, 14:00 - 15:00
  • Wednesday 5 February 2014, 12:00 - 13:00
  • Wednesday 9 April 2014, 12:00 - 13:00
  • Friday 11 April 2014, 12:00 - 13:00

Contact: Nicolas Fauchereau ([email protected]): My academia web-page

All the notebooks in this seminar series are indexed at https://github.com/nicolasfauchereau/NIWA_Python_seminars

If you have git installed, the easier is to clone my repository

git clone https://github.com/nicolasfauchereau/NIWA_Python_seminars.git

If you are not a git user, simply download the archive from here or copy the directory NIWA_Python_seminars from my S: drive.


You can also visualize the material in your web-browser (thanks to nbviewer) by following these links:

An alternative way to display the notebooks is to use the github HTML viewer: e.g. in your address bar prepend http://htmlpreview.github.io/? to URL of the HTML versions of the notebooks available in the repository, for example for the Introduction:

http://htmlpreview.github.io/?https://github.com/nicolasfauchereau/NIWA_Python_seminars/blob/master/0_Introduction.html