Data Wrangling with Python

Katharine Jarmul and Jacqueline Kazil's 'Data Wrangling with Python' teaches practical techniques for preparing data for analysis using the Python ecosystem.

The book covers data ingestion, cleaning, transformation, and exporting, with hands-on examples using popular libraries.

It emphasizes reproducible workflows and pragmatic approaches for dealing with messy real-world datasets.

Readers learn patterns for automating common data tasks and integrating processing steps into analysis pipelines.

The book is aimed at analysts, data scientists, and engineers who need reliable methods to turn raw data into usable datasets.