Data Structures & Algorithms in Python (Addison-Wesley)
Wednesday, 09 November 2022

This practical introduction to data structures and algorithms builds on Robert Lafore's Java-based guide to explain exactly how data structures and algorithms operate. Dr. John Canning, Alan Broder and Robert Lafore show how to efficiently apply them with Python and scale your code to handle today's big data challenges.

<ASIN:‎ 013485568X>

Throughout, the authors focus on real-world examples, communicate key ideas with interactive visualizations, and limit complexity and math to what you need to improve performance. Step-by-step, they introduce arrays, sorting, stacks, queues, linked lists, recursion, binary trees, 2-3-4 trees, hash tables, spatial data structures, graphs, and more.

Author: Dr. John Canning, Alan Broder and Robert Lafore
Publisher: Addison-Wesley
Date: October 2022
Pages: 928
ISBN: 978-0134855684
Print: ‎ 013485568X
Kindle: ‎ B0B1WJF1K9
Audience: Python developers
Level: Intermediate
Category: Theory & Techniques 

datapython

 

  • Build core computer science skills that take you beyond merely “writing code”
  • Learn how data structures make programs (and programmers) more efficient
  • See how data organization and algorithms affect how much you can do with today's, and tomorrow's, computing resources
  • Develop data structure implementation skills you can use in any language
  • Choose the best data structure(s) and algorithms for each programming problem―and recognize which ones to avoid.

 

For recommendations of Python books see Books for Pythonistas and Python Books For Beginners in our Programmer's Bookshelf section.

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Authors: John Shovic and Alan Simpson
Publisher: For Dummies
Date: April 2021
Pages: 720
ISBN: 978-1119787600
Print: 1119787602
Kindle: B091DGDLK8
Audience: People wanting to learn Python
Rating: 2
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Author: Jason Strate
Publisher: Apress
Pages: 615
ISBN: 978-1484254639
Print: 1484254635
Kindle: B0825PBF8R
Audience: Performance DBAs/Developers
Rating: 4.5
Reviewer: Ian Stirk 

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