Trove Classifiers and Data Optimization in Python

This chapter explores the significance of Trove classifiers in Python packaging, particularly in enhancing package visibility on PyPI. It highlights the introduction of the Trommel tool for efficient classifier management and discusses the benefits of using Parquet files over traditional CSV for handling large datasets. The chapter also touches on upcoming features in Python 3.14, continuous integration practices, and the importance of secure dependency management.