This tutorial is aimed at people new to pandas. Knowledge of Python will be useful but is not essential. JupyterLab will be used, and attendees are expected to complete short exercises during the tutorial.

The tutorial will start by the basic pandas features, but it will go deep into some of the pandas implementation details, so attendees are prepared to deal with real data.

We will cover the next topics:

• Loading data from different formats
• Transforming data and data types
• Joining datasets and reshaping
• Filtering and selecting
• Dealing with missing values
• Aggregating data and computing statistics
• Data visualization