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  • Pandas Cookbook: Practical recipes for scientific computing, time series, and exploratory data analysis using Python
  • Focus of Pandas Cookbook: Third Edition
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Pandas Cookbook: Practical recipes for scientific computing, time series, and exploratory data analysis using Python

by William Ayd (Author), Matthew Harrison (Author) Format: Paperback
4.9 out of 5 stars (47)

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From fundamental techniques to advanced strategies for handling big data, visualization, and more, this book equips you with skills to excel in real-world data analysis projects.

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Key Features

  • This book targets features in pandas 2.x and beyond
  • 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

Book Description

Unlock the full power of pandas 2.x with this hands-on cookbook, designed for Python developers, data analysts, and data scientists who need fast, efficient solutions for real-world data challenges. This book provides practical, ready-to-use recipes to streamline your workflow. With step-by-step guidance, you'll master data wrangling, visualization, performance optimization, and scalable data analysis using pandas’ most powerful features.

From importing and merging large datasets to advanced time series analysis and SQL-like operations, this cookbook equips you with the tools to analyze, manipulate, and visualize data like a pro. Learn how to boost efficiency, optimize memory usage, and seamlessly integrate pandas with NumPy, PyArrow, and databases. This book will help you transform raw data into actionable insights with ease.

What you will learn

  • The pandas type system and how to best navigate it
  • Import/export DataFrames to/from common data formats
  • Data exploration in pandas through dozens of practice problems
  • Grouping, aggregation, transformation, reshaping, and filtering data
  • Merge data from different sources through pandas SQL-like operations
  • Leverage the robust pandas time series functionality in advanced analyses
  • Scale pandas operations to get the most out of your system
  • The large ecosystem that pandas can coordinate with and supplement

Who this book is for

This book is for Python developers, data scientists, engineers, and analysts. pandas is the ideal tool for manipulating structured data with Python and this book provides ample instruction and examples. Not only does it cover the basics required to be proficient, but it goes into the details of idiomatic pandas

Table of Contents

  1. pandas Foundations
  2. Selection and Assignment
  3. Data Types
  4. The pandas I/O System
  5. Algorithms and How to Apply Them
  6. Visualization
  7. Reshaping DataFrames
  8. Group By
  9. Temporal Data Types and Algorithms
  10. General Usage and Performance Tips
  11. The pandas Ecosystem
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  1. ISBN-10
    1836205872
  2. ISBN-13
    978-1836205876
  3. Edition
    3rd ed.
  4. Publisher
    Packt Publishing
  5. Publication date
    October 31, 2024
  6. Language
    English
  7. Dimensions
    7.5 x 0.91 x 9.25 inches
  8. Print length
    404 pages
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From the brand

From the Publisher

pandas cookbook
pandas will

You've been an active part of the Pandas core team. How has this community involvement influenced the new content in this edition?

When I first started contributing to pandas, I was biased toward my personal needs. The more I contributed to the project, my mind became more open to different ways of problem solving. Even after so many years, I’m developing new analytical techniques, which has made me appreciate the contributions from many people in the open source space.

In this third edition, I’ve gathered diverse techniques into one package. Our discussions in my book will cover algorithms, data types, data exploration, data cleansing, visualization, and more. They were enabled by contributors from different backgrounds, and the fact that they are all a part of pandas makes it a wonderfully useful tool for data practitioners everywhere.

pandas

What did you prioritize in this update to address the needs of the community?

The challenging aspect of learning pandas is its type system and handling of missing values, features that have become burdens as the open source ecosystem evolved. Though there's hope for future improvements, altering a library as popular as pandas is a complex task. Despite this, there are current methods that improve upon these aspects, which I’ve detailed in Chapter 3 of my book. At the end of the day, a library like pandas is beholden to the desires of its users, so I hope that educating users on the type system, missing value handling, and other areas for improvement will help inspire collective passion toward making the library even better over the next many years.

pandas

“I am excited to see the third edition of this book come together. It is an excellent resource full of practical solutions to problems you will encounter in your data analysis work in Python. It covers the essential features of pandas while delving into more advanced functionality and features that were only added to the library in the last few years.”

- Wes McKinney

Creator of the pandas project

Pandas Cookbook: Practical recipes for scientific computing, time series and ...
Pandas 1.x Cookbook - Second Edition: Practical recipes for scientific comput...
Customer Reviews
4.9 out of 5 stars 47
4.3 out of 5 stars 108
Version 2.x and beyond 1.x
How will you progress in your learnings Leverage pandas within a broader analytics ecosystem and optimize workflows Get started on learning essential pandas techniques and how to process big data
Key features Future-focused pandas best practices, evolving idioms, analytical thinking, and improved recipes Efficient data manipulation, method chaining, comprehensive feature summary, and row/column ops
Who are each of these editions for? Those who want to stay up-to-date with advanced techniques, large datasets, and new features Those seeking to deepen their understanding of core pandas concepts and build a strong foundation

Editorial Reviews

About the Author

Will Ayd is a core maintainer of the pandas project, serving in that role since 2018. For over a decade working as a consultant, Will has helped countless clients get the most value from their data using pandas and the open-source ecosystem surrounding it

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

Product details

  • Publisher ‏ : ‎ Packt Publishing
  • Publication date ‏ : ‎ October 31, 2024
  • Edition ‏ : ‎ 3rd ed.
  • Language ‏ : ‎ English
  • Print length ‏ : ‎ 404 pages
  • ISBN-10 ‏ : ‎ 1836205872
  • ISBN-13 ‏ : ‎ 978-1836205876
  • Item Weight ‏ : ‎ 1.52 pounds
  • Dimensions ‏ : ‎ 7.5 x 0.91 x 9.25 inches
  • Best Sellers Rank: #801,136 in Books (See Top 100 in Books)
  • Customer Reviews:
    4.9 out of 5 stars (47)

About the author

Follow authors to get new release updates, plus improved recommendations.
William Ayd

William Ayd

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Will Ayd is an independent consultant who leverages open source tools to make clients' data easy, actionable, and insightful. Will also contributes heavily to the open source ecosystem he champions, having served as a maintainer of the pandas library since 2018 and as a Committer to the Apache Arrow project since 2024.

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