| title | Data Analysis in Python with Pandas |
|---|---|
| author | Peter Hill |
| tags | Python Pandas data practical |
What do you do with the data you've collected from your experiment or simulation? It's pretty rare that the data gets published without some kind of analysis being done first. Pandas is a Python package designed to make this analysis easier, faster and more robust. It harnesses both Numpy and Matplotlib, so if you're familiar with either of those, you'll pick it up easily!
We used some materials from Christopher Woods' great "Intermediate Python and Data Analysis Workshop", which are available from his website here: https://chryswoods.com/python_and_data/README.html