
Python Data Structures Pocket Primer
Oswald Campesato(Author)
Mercury Learning & Information (Publisher)
1st Edition
Will be published approx. on 20. December 2022
Book
Paperback/Softback
229 pages
978-1-68392-757-0 (ISBN)
Description
No detailed description available for "Python Data Structures Pocket Primer".
More details
Series
Edition
1. Auflage
Language
English
Place of publication
Herndon, VA
United States
Target group
Professional and scholarly
US School Grade: College Graduate Student
Product notice
Klappenbroschur
Dimensions
Height: 229 mm
Width: 152 mm
Thickness: 14 mm
Weight
360 gr
ISBN-13
978-1-68392-757-0 (9781683927570)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Oswald Campesato
Python Data Structures Pocket Primer
E-Book
12/2022
1st Edition
Mercury Learning & Information
€49.49
Available for download

Oswald Campesato
Python Data Structures Pocket Primer
E-Book
12/2022
1st Edition
Mercury Learning and Information
€48.99
Available for download
Person
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).
Content
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
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