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 todayââ?¬â?[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.
Youââ?¬â?[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.