Load your sales data from csv/json/db. Filter out transactions under 10 USD. Aggregate by city. Make a choropleth map and show your boss that we are underselling in New York. This is what ten lines of code can give you.

A data frame is a data structure specifically designed for effective management of tabular data, conceptually similar to a spreadsheet or a database table.

Working knowledge of data frames and how to use them is helpful for any developer, as it provides an easy way to analyze, process and visualize data from a multitude of sources.

In this session we will be exploring some everyday use case scenarios for data frames, using Pandas and Jupyter.