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Python Data Structures Pocket Primer
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Oswald Campesato
Language:
English
Published/Copyright:
2022
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).
Supplementary Materials
Topics
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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
Keywords for this book
Computer Science; Programming; Python; Data Science; neural networks; data processing
Safety & product resources
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Manufacturer information:
Walter de Gruyter GmbH
Genthiner Straße 13
10785 Berlin
productsafety@degruyterbrill.com