Common-Sense Guide Data Structures Algorithms 2nd Ed: Level Up Programming

Description

Master data structures and algorithms with the practical, common-sense approach that has helped thousands of programmers level up their core skills. This fully updated 508-page second edition by Jay Wengrow transforms abstract concepts into real-world techniques you can immediately apply to write faster, more efficient code for today’s web and mobile applications.

Featuring examples in JavaScript, Python, and Ruby, this comprehensive guide covers Big O notation, recursion, dynamic programming, arrays, linked lists, hash tables, binary trees, and graphs. New chapters dive deep into recursion techniques, dynamic programming strategies, and practical Big O applications for daily coding work. Learn how simple algorithm choices can dramatically impact code performance and scalability.

• Practical Real-World Approach – Transform abstract concepts into immediately applicable techniques for web and mobile app development

• Multi-Language Examples – Code samples in JavaScript, Python, and Ruby for maximum accessibility and practical application

• Updated 2nd Edition Content – New chapters on recursion, dynamic programming, and daily Big O usage with 508 pages of comprehensive coverage

• Performance Optimization Focus – Learn how algorithm choices dramatically affect code speed, efficiency, and scalability in production

• Hands-On Learning – Practice exercises in every chapter with detailed solutions for reinforced understanding and skill building

• Big O Mastery – Measure and articulate code efficiency, then modify algorithms to achieve exponentially faster performance

• Advanced Data Structures – Cover binary trees, graphs, hash tables for scaling specialized applications like social networks