Python Data Structures: Pocket Primer
- 3h 7m
- Oswald Campesato
- Mercury Learning
- 2022
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.
About the Author
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).
In this Book
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Introduction to Python
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Recursion and Combinatorics
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Strings and Arrays
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Search and Sort Algorithms
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Linked Lists
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Linked Lists and Common Tasks
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Queues and Stacks
