This book is a deep dive into the world of data structures and algorithms that Federico Kereki says will transform the way you approach problem solving in JavaScript. Each chapter has clear, no-nonsense explanations of complex concepts, real-world coding examples, and challenging questions (with answers at the end) to reinforce your understanding.
<ASIN:1718502621 >
Author: Federico Kereki Publisher: No Starch Date: January 2025 Pages: 592 ISBN: 978-1718502628 Print: 1718502621 Kindle: B0B7R286TN Audience: JavaScript developers Level: Intermediate Category: JavaScript

Key features include:
- Modern JavaScript techniques: Use the latest language features and functional programming principles for cleaner, more efficient code.
- Performance-focused approach: Analyze and optimize algorithms using Big O notation.
- Essential algorithms explained: Implement and fine-tune core algorithms like quicksort, merge sort, digital search, and binary search.
- Algorithm design strategies: Solve challenging problems with techniques like recursion, dynamic programming, backtracking, and brute-force search.
- Advanced data structures: Explore complex structures such as binary search trees, heaps, and graphs.
For recommendations of JavaScript books see JavaScript Beginners Book Choice and Advanced JavaScript Book Choices in our Programmer's Bookshelf section.
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Computer Architecture (No Starch Press)
Author: Charles Fox Publisher: No Starch Press Date: May 2024 Pages: 560 ISBN: 978-1718502864 Print: 1718502869 Kindle: B0BZH1LB1F Audience: General Rating: 4 Reviewer: Harry Fairhead No, not architecture via a computer - the architecture OF computers.
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Foundational Python For Data Science
Author: Kennedy Behrman Publisher: Pearson Pages:256 ISBN: 978-0136624356 Print: 0136624359 Kindle: B095Y6G2QV Audience: Data scientists Rating: 4.5 Reviewer: Kay Ewbank
This book sets out to be a simple introduction to Python, specifically how to use it to work with data.
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