Pandas is a Python data science library that allows for the manipulation and transformation of data, and in particular numeric and time series data. In this workshop for people completely new to Pandas, and possibly also to data science and/or programming, we’ll take a relatively leisurely look at the Pandas library in conjunction with the Jupyter Notebook environment. We’ll learn about the two main data structures in Pandas, the series and the dataframe, reading from and writing to file, indexing data (including boolean indexing), and describing data. If we have time, we may even make a chart! This workshop is not recommended for those already experienced with Pandas, we’ll be staying firmly in a beginner-friendly zone.