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Computer Science - A Common-Sense Guide to Data Structures and Algorithms, Second Edition: Level Up Your Core Programming Skills

Description

Book Synopsis: 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.

Details

Looking to level up your programming skills? Look no further than "A Common-Sense Guide to Data Structures and Algorithms, Second Edition". This comprehensive book will not only teach you the fundamentals of algorithms and data structures, but also provide practical techniques and real-world scenarios that you can immediately implement in your web and mobile apps. With examples in JavaScript, Python, and Ruby, you'll be able to apply what you learn in the language of your choice.

What sets this book apart is its focus on efficiency. In today's fast-paced technology landscape, writing code that runs faster and more efficiently is crucial. With a deep dive into Big O notation, you'll learn how to measure and optimize your code's efficiency. Discover how your choice of arrays, linked lists, and hash tables can have a dramatic impact on the performance of your code.

Not just limited to the basics, this book delves into advanced topics such as recursion, dynamic programming, and advanced data structures like binary trees and graphs. These concepts are not only used in specialized applications like social networks and mapping software, but they can also give your code a turbo boost, enabling exponential speed improvements in solving tricky problems.

Don't just read about these concepts, put them into practice! Each chapter is packed with exercises to help you solidify your understanding, along with detailed solutions to ensure you're on the right track. By incorporating the techniques taught in this book into your daily coding, you'll be able to make your code faster, more efficient, and more scalable.

Ready to level up your coding skills? Get your copy of "A Common-Sense Guide to Data Structures and Algorithms, Second Edition" today!

Click here to purchase.

Disclosure: I get commissions for purchases made through links in this website