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

  • Introduction to Python
  • Recursion and Combinatorics
  • Strings and Arrays
  • Search and Sort Algorithms
  • Linked Lists
  • Linked Lists and Common Tasks
  • Queues and Stacks

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