Python Data Structures 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.

BRIEF TOC

             1: Introduction to Python. 2: Recursion and Combinatorics. 3: Strings and Arrays. 4: Search and Sort Algorithms. 5: Linked Lists. 6: Linked Lists and Common Tasks. 7: Queues and Stacks. Index.

ABOUT THE AUTHOR

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