Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently, which is particularly important for today’s web and mobile apps. Take a practical approach to data structures and algorithms, with techniques and real-world scenarios that you can use in your daily production code, with examples in JavaScript, Python, and Ruby. This new and revised second edition features new chapters on recursion, dynamic programming, and using Big O in your daily work.
Use Big O notation to measure and articulate the efficiency of your code, and modify your algorithm to make it faster. 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. You’ll even encounter a single keyword that can give your code a turbo boost. Practice your new skills with exercises in every chapter, along with detailed solutions.
Use these techniques today to make your code faster and more scalable.
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Data Structures and Algorithms book
DSA for beginners
Algorithms and data structures guide
Programming fundamentals book
Learn data structures easily
Big O notation explained
Coding interview preparation book
Practical algorithms book
Software engineering fundamentals
Computer science basics book
Beginner to intermediate DSA
Algorithm efficiency and performance
Programming problem-solving skills
Jay Wengrow book
Best data structures book
Learn algorithms step by step
Core programming skills
DSA with real-world examples
Coding fundamentals for developers
Modern data structures guide
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