Python can be a great option for exploration, analysis and visualization of tabular data, such as spreadsheets and CSV files, if you know which tools to use and how to get started. This workshop will take you through some practical examples of using Python and specifically the Pandas module to load data from files and transform it into a standard “tidy” format, so it's ready to analyze and visualize. You will also get some experience working in JupyterLab, the exciting new flexible programming environment which contain Jupyter Notebooks, a file browser, and more.

This workshop builds upon, and is a continuation of, the very basic Pandas workshop I gave last semester (Fall 2019):

• While none of the content will be very advanced, if you don't have any programming experience, or you have never used Python at all before, the material may be too confusing to be useful – I won't be teaching the language itself. 
• If you have at least a tiny bit of Python exposure, but haven't used Pandas much or at all, I would advise watching last semester's Intro to Pandas video before you attend.

The classroom in which this is held has Windows computers with Python and Pandas installed, so you don't need to bring a laptop.

The content of the workshop may be recorded. Cameras will capture the instructor station and the display screen. Ambient audio, including verbal audience  participation, will be included on the recording. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.