Data Wrangling with Python Tips and Tools to Make Your Life Easier by Jacqueline Kazil, Katharine Jarmul.pdf

Through various step-by-step exercises, you’ll learn how to acquire, clean, analyze, and present data efficiently. You’ll also discover how to automate your data process, schedule file- editing and clean-up tasks, process larger datasets, and create compelling stories with data you obtain.
+ Quickly learn basic Python syntax, data types, and language concepts
+ Work with both machine-readable and human-consumable data
+ Scrape websites and APIs to find a bounty of useful information
+ Clean and format data to eliminate duplicates and errors in your datasets
+ Learn when to standardize data and when to test and script data cleanup
+ Explore and analyze your datasets with new Python libraries and techniques
+ Use Python solutions to automate your entire data-wrangling process