Pandas 1.x Cookbook - Second Edition

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  • Master data exploration in pandas through dozens of practice problems
  • Group, aggregate, transform, reshape, and filter data
  • Merge data from different sources through pandas SQL-like operations
  • Create visualizations via pandas hooks to matplotlib and seaborn
  • Use pandas, time series functionality to perform powerful analyses
  • Import, clean, and prepare real-world datasets for machine learning
  • Create workflows for processing big data that doesn’t fit in memory

The pandas library is massive, and it's common for frequent users to be unaware of many of its more impressive features. The official pandas documentation, while thorough, does not contain many useful examples of how to piece together multiple commands as one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through situations that you are highly likely to encounter.

This new updated and revised edition provides you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas. Some recipes focus on achieving a deeper understanding of basic principles, or comparing and contrasting two similar operations. Other recipes will dive deep into a particular dataset, uncovering new and unexpected insights along the way. Many advanced recipes combine several different features across the pandas library to generate results.

  • This is the first book on pandas 1.x
  • Practical, easy to implement recipes for quick solutions to common problems in data using pandas
  • Master the fundamentals of pandas to quickly begin exploring any dataset
Page Count 626
Course Length 18 hours 46 minutes
ISBN 9781839213106
Date Of Publication 27 Feb 2020


Matt Harrison

Matt Harrison has been using Python since 2000. He runs MetaSnake, which provides corporate training for Python and Data Science. He is the author of Machine Learning Pocket Reference, the bestselling Illustrated Guide to Python 3, and Learning the Pandas Library, among other books.

Theodore Petrou

Theodore Petrou is the founder of Dunder Data, a training company dedicated to helping teach the Python data science ecosystem effectively to individuals and corporations. Read his tutorials and attempt his data science challenges at the Dunder Data website.