DVS Workshop: Tidy Data in Python with JupyterLab
Python can be a great option for exploration, analysis and visualization of tabular data, like 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 the Pandas moduleÂ to load data, transform it into a standard "tidy" format, and visualize it with Seaborn (or another similar module). We will also introduce you to working in JupyterLab, the exiting new flexible programming environment which will eventually replace Jupyter Notebooks. There are no prerequisites for this workshop - familiarity with the Python programming language is not required, but you will probably find it easier to follow if you have a little coding experience since we will not be giving an overview of the language itself. Instead, the focus will be on learning how to use the language through conceptual understanding and recipes for specific, commonly-useful tasks.