A Common-Sense Guide To Data Structures And Algorithms (O'Reilly)
Monday, 16 October 2017

Mastering algorithms and data structures enables you to write code that runs faster and more efficiently. Author Jay Wengrow takes a practical approach with techniques and real-world scenarios that you can use in your daily production code, and brings to this book the key teaching practices he developed as a web development bootcamp founder and educator

<ASIN:1680502441>

Graphics and examples are used to ensure the concepts are understandable and relevant, with examples in the book in JavaScript, Python, and Ruby.

Author: Jay Wengrow
Publisher: O'Reilly
Date: August 2017
Pages: 220
ISBN: 978-1680502442
Print: 1680502441
Kindle: B075FZ9P7N
Audience: Developers who want to learn about computer science
Level: intermediate
Category: Theory & Techniques 

 

 

  • Use Big O notation, the primary tool for evaluating algorithms, to measure the efficiency of your code.
  • Find out how your choice of arrays, linked lists, and hash tables can dramatically affect the code you write.
  • Use recursion to solve tricky problems and create algorithms that run exponentially faster than the alternatives.
  • Dig into advanced data structures such as binary trees and graphs to help scale specialized applications such as social networks and mapping software.

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Machine Learning Q and AI (No Starch Press)

Author: Sebastian Raschka
Publisher: No Starch Press
Date: April 2024
Pages: 264
ISBN: 978-1718503762
Print: 1718503768
Kindle: B0CKKXCK3T
Audience: Developers interested in AI
Rating: 4
Reviewer: Mike James
Q and AI, a play on Q&A is a clever title, but is the book equally clever?



Algorithmic Thinking, 2nd Ed (No Starch Press)

Author: Dr. Daniel Zingaro
Publisher: No Starch
Date: January 2024
Pages: 480
ISBN: 978-1718503229
Print: 1718503229
Kindle: B0BZGZHK3B
Audience: C programmers
Rating: 4
Reviewer: Mike James
What exactly is algorithmic thinking?


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