This workshop introduces the pandas package, which supports data processing in python.
Pandas makes it easier to build workflows that move between different kinds of task:
- Reading tabular data
- Tidying data
- Transforming data
- Data visualisation
- Applying statistical tests
This workshop assumes a basic familiarity with the python language, as covered in the Introduction to Python workshop.
We will be working with python using jupyter notebooks. The easiest way to access jupyter is via the Anaconda platform.
Please install Anaconda from https://www.anaconda.com in advance of the first session.
Download this repository to your computer as a ZIP file and unpack it.
Open JupyterLab (within Anaconda) and navigate to the unpacked directory to work with the .ipynb notebooks.
Alternatively, you can run the notebooks online using Binder:
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.