Practical Python Data Wrangling and Data Quality (Final Release)

Complementing foundational concepts with expert advice, author Susan E. McGregor provides the resources you need to extract, evaluate, and analyze a wide variety of data sources and formats, along with the tools to communicate your findings effectively. This book delivers a methodical, jargon-free way for data practitioners at any level, from true novices to seasoned professionals, to harness the power of data.
Use Python 3.8+ to read, write, and transform data from a variety of sources
Understand and use programming basics in Python to wrangle data at scale
Organize, document, and structure your code using best practices
Collect data from structured data files, web pages, and APIs
Perform basic statistical analyses to make meaning from datasets
Visualize and present data in clear and compelling ways