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book: Python Data Structures Pocket Primer
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Python Data Structures Pocket Primer

  • Oswald Campesato
Language: English
Published/Copyright: 2022
View more publications by Mercury Learning and Information
Pocket Primer
This book is in the series

About this book

As part of the best-selling Pocket Primer series, this book is designed to present the fundamentals of data structures using Python. Data structures provide a means to manage huge amounts of information such as large databases and the ability to use search and sort algorithms effectively. It is intended to be a fast-paced introduction to the core concepts of Python and data structures, illustrated with numerous code samples. Companion files with source code are available for downloading.

Features:

  • Begins with an introduction to Python, and covers recursion, strings, search and sort, linked lists, stacks, and more
  • Features numerous code samples throughout
  • Includes companion files with source code available for downloading.

Author / Editor information

Campesato Oswald :

Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning and Information).


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Publishing information
Pages and Images/Illustrations in book
eBook published on:
December 20, 2022
eBook ISBN:
9781683927563
Paperback published on:
December 20, 2022
Paperback ISBN:
9781683927570
Pages and Images/Illustrations in book
Main content:
229
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