Python Data Structures Pocket Primer

Oswald Campesato

$74.99

Paperback

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English

Mercury Learning & Information
06 December 2022

Computing: general; Computer programming & software development; Neural networks & fuzzy systems

Series: Pocket Primer

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 managing 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.

By: Oswald Campesato
Imprint: Mercury Learning & Information
Country of Publication: United States
Dimensions: Height: 229mm, Width: 152mm,
Weight: 390g
ISBN: 9781683927570
ISBN 10: 1683927575
Series: Pocket Primer
Pages: 229
Publication Date: 06 December 2022
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

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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Python Data Structures Pocket Primer

Oswald Campesato

$74.99

Paperback

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