Times and Dates in Pandas

Explore the powerful capabilities of Pandas for working with times and dates in this 45-minute PyCon US talk. Dive into the dtypes associated with temporal data, learn how to perform various calculations, and address challenges in parsing and importing datetime information. Discover advanced techniques for grouping, pivoting, and resampling time-based data. Gain practical insights to enhance your ability to analyze and manipulate temporal datasets using Pandas, opening up new possibilities for your data analysis projects. Access the accompanying slides for a comprehensive overview of the concepts covered in this informative presentation.

Talks - Reuven M. Lerner: Times and dates in Pandas