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Thinking in Pandas

How to Use the Python Data Analysis Library the Right Way

Authors: Stepanek, Hannah

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  • Establishes a foundation of understanding by exploring the underlying data structures that pandas is built on
    Guides the reader through architecting a pandas based solution by emphasizing performance 
    Uses simple, practical, and exploratory examples to empower the reader to recognize when to use a given pandas feature

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eBook $24.99
price for USA (gross)
  • ISBN 978-1-4842-5839-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $32.99
price for USA
  • ISBN 978-1-4842-5838-5
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
About this book

Understand and implement big data analysis solutions in pandas with an emphasis on performance. This book strengthens your intuition for working with pandas, the Python data analysis library, by exploring its underlying implementation and data structures.

Thinking in Pandas introduces the topic of big data and demonstrates concepts by looking at exciting and impactful projects that pandas helped to solve. From there, you will learn to assess your own projects by size and type to see if pandas is the appropriate library for your needs. Author Hannah Stepanek explains how to load and normalize data in pandas efficiently, and reviews some of the most commonly used loaders and several of their most powerful options. You will then learn how to access and transform data efficiently, what methods to avoid, and when to employ more advanced performance techniques. You will also go over basic data access and munging in pandas and the intuitive dictionary syntax. Choosing the right DataFrame format, working with multi-level DataFrames, and how pandas might be improved upon in the future are also covered.

By the end of the book, you will have a solid understanding of how the pandas library works under the hood. Get ready to make confident decisions in your own projects by utilizing pandas—the right way.


What You Will Learn

  • Understand the underlying data structure of pandas and why it performs the way it does under certain circumstances
  • Discover how to use pandas to extract, transform, and load data correctly with an emphasis on performance
  • Choose the right DataFrame so that the data analysis is simple and efficient.
  • Improve performance of pandas operations with other Python libraries


Who This Book Is ForSoftware engineers with basic programming skills in Python keen on using pandas for a big data analysis project. Python software developers interested in big data.

About the authors

Hannah Stepanek is a software developer with a passion for performance and is an open source advocate. She has over seven years of industry experience programming in Python and spent about two of those years implementing a data analysis project using pandas.

Hannah was born and raised in Corvallis, OR, and graduated from Oregon State University with a major in Electrical Computer Engineering. She enjoys engaging with the software community, often giving talks at local meetups as well as larger conferences. In early 2019, she spoke at PyCon US about the pandas library and at OpenCon Cascadia about the benefits of open source software. In her spare time she enjoys riding her horse Sophie and playing board games.

Table of contents (9 chapters)

Table of contents (9 chapters)
  • Introduction

    Pages 1-7

    Stepanek, Hannah

  • Basic Data Access and Merging

    Pages 9-30

    Stepanek, Hannah

  • How pandas Works Under the Hood

    Pages 31-64

    Stepanek, Hannah

  • Loading and Normalizing Data

    Pages 65-108

    Stepanek, Hannah

  • Basic Data Transformation in pandas

    Pages 109-119

    Stepanek, Hannah

Buy this book

eBook $24.99
price for USA (gross)
  • ISBN 978-1-4842-5839-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $32.99
price for USA
  • ISBN 978-1-4842-5838-5
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.

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Bibliographic Information

Bibliographic Information
Book Title
Thinking in Pandas
Book Subtitle
How to Use the Python Data Analysis Library the Right Way
Authors
Copyright
2020
Publisher
Apress
Copyright Holder
Hannah Stepanek
eBook ISBN
978-1-4842-5839-2
DOI
10.1007/978-1-4842-5839-2
Softcover ISBN
978-1-4842-5838-5
Edition Number
1
Number of Pages
XI, 186
Number of Illustrations
27 b/w illustrations
Topics

*immediately available upon purchase as print book shipments may be delayed due to the COVID-19 crisis. ebook access is temporary and does not include ownership of the ebook. Only valid for books with an ebook version. Springer Reference Works are not included.