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.. FeaturesBegins with an introduction to Python, and covers recursion, strings, search and sort, linked lists, stacks, and moreFeatures numerous code samples throughoutIncludes companion files with source code available for downloadingTable of Contents1: 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 AuthorOswald 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) .