Computational Modelling Group

Workshop  25th April 2016 4 p.m.  177/2023 NGCM CDT Common Room

Python Pandas workshop

David Lusher and Kieran Selvon
University of Southampton

Web page
http://pandas.pydata.org/
Categories
NGCM, Pandas, Python, R, Stata, VirtualBox
Submitter
Kieran Selvon

Python Data Analysis Library,

Python is a becoming an increasingly common high level programming language, excelling in easy implementation of scientific programming tasks. For statistical analysis however, environments such as R or Stata remain the first choice of most.

Pandas the Python Data Analysis Library, is an open source python library which allows advance data analysis to be performed in the python environment.

David Lusher and Kieran Selvon, two NGCM PhD students will be running the workshop as part of the FEE module Advanced Computational Methods II, it is addressed primarily at other students taking the module, however there are a very limited number of spaces available to anyone else interested in receiving an introduction to the pandas library. Please contact Kieran Selvon if you wish to attend.

The 2 hour workshop will be split into a presentation providing a general overview of pandas and its place in the programming world, a demonstration session and a series of exercises covering basic use of pandas and how to perform commonly required tasks and array operations to some more complex analysis activities. As a python library pandas can be utilised in any python development environment, the workshop will utilise the Ipython Notebook and Anaconda IDE.

Prerequisites- Python, Ipython Jupyter Notebook, a laptop with virtual box installed (a virtual machine will be provided if you do not have or do not wish to install python yourself) alternatively you could install the anaconda python package from http://www.southampton.ac.uk/~fangohr/blog/installation-of-python-spyder-numpy-sympy-scipy-pytest-matplotlib-via-anaconda.html-it is cross platform and should allow you to work on your preferred OS, then pip install pandas.