Pandas solves the full stack of data analysis in Python; reading-in of data, mangling and manipulation, analysis, and visualisation (and much more, actually). It builds up on established Python packages and can be used interchangeably with them (like Numpy, matplotlib); it fits perfectly into the Jupyter Notebooks workflow of modern-day data analysis.
This course will introduce Pandas with simple examples in hands-on exercises, highlighting the capabilities of the software package on the way with increasing complexity.
Attendees should have run a Python program before and know the bare minimum of the programming language.
You are welcome to use your own laptop for the course. Alternatively, access to JSC training machines will be provided. Please specify what you want to use in your registration email.