How to Use Pandas the Wrong Way

Explore common pitfalls and optimization techniques for using the pandas library in this 44-minute EuroPython 2017 conference talk. Delve into efficient indexing strategies, managing multiple data types, avoiding implicit type casting, optimizing HDF5 storage, and proper usage of GroupBy.apply(). Learn how to write more robust and performant pandas code by understanding implementation details and adopting better approaches to data manipulation. Gain insights into specific situations where changing your coding approach can significantly improve efficiency and reliability when working with pandas.

Introduction
Disclaimer
Numpy
Basic mistakes
Duplicated indexes
Unsorted indexes
Stupid data frames
Data types
Another stupid data frame
Comparing functions
Comparing data types
Group operations
Multi indexes
HDF
Multiindex
Title
Questions