Contact us on (02) 8445 2300
For all customer service and order enquiries

Woodslane Online Catalogues

9781683927570 Add to Cart Academic Inspection Copy

Python Data Structures Pocket Primer

Description
Author
Biography
Table of
Contents
Google
Preview
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.
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).
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
Google Preview content