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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

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
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Balancing Coupling in Software Design
Author: Vlad Khononov Publisher: Addison-Wesley Date: October 2024 Pages: 320 ISBN: 978-0137353484 Print: 0137353480 Kindle: B09RV3Z3TP Audience: General Rating: 4.5 Reviewer: Kay Ewbank
This book looks in detail at coupling, the degree of interdependence between software modules, and how to use coupling [ ... ]
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The AWK Programming Language, 2nd Ed
Author: Alfred V. Aho, Brian W. Kernighan and Peter J. Weinberger Publisher: Addison-Wesley Pages: 240 ISBN: 978-0138269722 Print: 0138269726 Kindle: B0CCJ1N4X3 Audience: Developers interested in Awk Rating: 5 Reviewer: Kay Ewbank
The name Brian Kernighan among the authors of this updated classic raises [ ... ]
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