Data wrangling

pandas is a data science package orignally developed by Wes McKinney. It builds on top of numpy to provide a higher level API for wrangling, analysing and visualising data. It is also closely coupled to matplotlib with a number of shorthand methods to create plots of data.

Our labs on pandas will cover beginner and intermediate techniques in data wrangling, manipulation and visualisation. There is also an exercise on creating a reproducible pipeline for downloading and efficiently storing a large data file in memory.