fran6w/pyparis2017

Introduction to Data Analysis using Python

The aim of the workshop is to put into action the Pandas Python library to deal with real data. It is intended for beginners and will be based on a notebook comprising 2 datasets to perform in-depth analysis. Basic to advanced functionalities of Pandas and Matplotlib will be experimented during the session.

The workshop is based on 2 datasets:

• Names from US Social Security from 1880 to 2016 : https://www.ssa.gov/oact/babynames/limits.html (National data)
• Names from French Insee from 1900 to 2015 : https://www.insee.fr/fr/statistiques/2540004 (Fichier France)

When the notebook is saved in a folder, let's say "PyParis/", run in a shell: jupyter notebook --notebook-dir=PyParis/

The notebook has been developped using Python 3.5. It should work with Python 2.7 and Python 3.3+.

Python modules needed for executing the notebook:

• numpy: 1.11.3
• pandas: 0.18.1
• matplotlib: 1.5.3
• ipython: 5.1.0
• jupyter: 1.0.0

We recommend to use the Anaconda distribution of Python which includes all necessary modules.

© 2017 Yotta Conseil - Francis Wolinski