Python Data Structures Pocket Primer

by Oswald Campesato

Overview

No detailed description available for "Python Data Structures Pocket Primer".

Product Details

ISBN-13:	9781683927570
Publisher:	Mercury Learning and Information
Publication date:	12/06/2022
Series:	Pocket Primer
Pages:	229
Product dimensions:	6.00(w) x 9.00(h) x (d)

About the Author

Campesato Oswald :

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).

Table of Contents

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