With the explanatory subtitle "How to Use the Python Data Analysis Library the Right Way", this book shows how to work effectively with pandas, the Python data analysis library, by exploring its underlying implementation and data structures.  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. The book also shows how to 

access and transform data efficiently, what methods to avoid, and when to employ more advanced performance techniques.

Author: Hannah Stepanek
Publisher: Apress
Date: June 2020
Pages: 200
ISBN: 978-1484258385
Print: 148425838X
Kindle:  B089RYM2DZ
Audience: Python developers
Level: Intermediate
Category: Python 

• 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

For recommendations of Python books see Books for Pythonistas and Python Books For Beginners in our Programmer's Bookshelf section.

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