Thinking in Pandas (Apress)
Thursday, 25 June 2020

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 

<ASIN:148425838X>

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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Scratch Programming In Easy Steps (2e)

Author: Sean McManus
Publisher: In Easy Steps (2019)
Pages: 216
ISBN: 978-1840788594
Print: 1840788593
Kindle: B00IDDZL78
Audience: Kids, their parents and teachers
Rating: 5
Reviewer: Lucy Black

What's Scratch all about and how do you use it? This book has the answer.



Access 2016 Programming By Example With VBA, XML And ASP

Author: Julitta Korol
Publisher: Mercury Learning and Information
Pages:900
ISBN: 978-1942270843
Print: 1942270844
Kindle: B01I5RJW6M
Audience: Access programmers
Rating: 4
Reviewer: Kay Ewbank

This brick of a book is an updated edition of a popular title with versions going back to Access 2003.


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