Grokking Algorithms, 2nd Ed (Manning)
Wednesday, 27 March 2024

Grokking Algorithms shows that learning algorithms doesn't have to be complicated or boring. In this revised second edition, Aditya Bhargava introduces brand new coverage of trees, including binary search trees, balanced trees, and B-trees. This edition also offers fresh insights on data structure performance that takes account of modern CPUs. Plus, the book’s fully annotated code samples have been updated to Python 3.

<ASIN:1633438538 >

 

Author: Aditya Bhargava
Publisher: Manning
Date: March 2024
Pages: 320
ISBN: 978-1633438538
Print: 1633438538
Kindle: ‎ B0CW1G5D2N
Audience: General
Level: Intermediate
Category: Methodology

grokalg

Topics include:

  • Search, sort, and graph algorithms
  • Data structures such as arrays, lists, hash tables, trees, and graphs
  • NP-complete and greedy algorithms
  • Performance trade-offs between algorithms
  • Exercises and code samples in every chapter
  • Over 400 illustrations with detailed walkthroughs

 

For more Book Watch just click.

Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

To have new titles included in Book Watch contact  BookWatch@i-programmer.info

Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.

 

 

Banner


Python All-in-One, 3rd Ed (For Dummies)

Authors: John Shovic and Alan Simpson
Publisher: For Dummies
Date: April 2024
Pages: 720
ISBN: 978-1394236152
Print: 1394236158
Kindle: B0CW1C834N
Audience: People wanting to learn Python
Rating: 2
Reviewer: Mike James
All-in-one refers to the fact that this is seven books put together - why?



Grokking Machine Learning

Author: Luis G. Serrano
Publisher: Manning
Date: December 2021
Pages: 512
ISBN: 978-1617295911
Print: 1617295914
Kindle: B09LK7KBSL
Audience: Python developers interested in machine learning
Rating: 5
Reviewer: Mike James
Another book on machine learning - surely we have enough by now?


More Reviews