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:
- 0: Introduction
- 1: Overview of IPython
- 2: Introduction to Python
- 3: Numpy and Scipy
- 4: Statistical modeling
- 5: Introduction to Pandas
- 6: Machine Learning
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: