Jay Wengrow @jaywengrow
edited by Brian MacDonald @bmacdonald
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.
- Full details: https://pragprog.com/book/jwdsal2/a-common-sense-guide-to-data-structures-and-algorithms-second-edition
- View this book’s portal and details on how to post errata and suggestions here.
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