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[Download] Data Structures & Algorithms in Swift (Third Edition): Implementing Practical Data Structures with Swift by raywenderlich Tutorial Team, Kelvin Lau, Vincent Ngo ~ eBook PDF Kindle ePub Free

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Data Structures & Algorithms in Swift (Third Edition): Implementing Practical Data Structures with Swift

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Learn Data Structures & Algorithms in Swift!Data structures and algorithms form the basis of computer programming and are the starting point for anyone looking to become a software engineer. Choosing the right data structure and algorithm involves understanding the many details and trade-offs of using them, which can be time-consuming to learn — and confusing.This is where this book, Data Structures & Algorithms in Swift, comes to the rescue! In this book, you’ll learn the nuts and bolts of how fundamental data structures and algorithms work by using easy-to-follow tutorials, loaded with illustrations; you'll also learn by working in Swift playground code.Who This Book Is ForThis book is for developers who know the basics of Swift syntax and want a better theoretical understanding of what data structures and algorithms are in order to build more complex programs or ace a whiteboard interview.Topics Covered in Data Structures & Algorithms in SwiftBasic data structures and algorithm including stacks, queues and linked lists.How protocols can be used to generalize algorithms.How to leverage the algorithms of the Swift standard library with your own data structures.Trees, tries and graphs.Building algorithms on top of other primitives.A complete spectrum of sorting algorithms from simple to advanced.How to think about algorithmic complexity.Finding shortest paths, traversals, subgraphs and much more.After reading this book, you’ll have a solid foundation on data structures and algorithms and be ready to elegantly solve more complex problems in your apps.

eBook details

  • Title: Data Structures & Algorithms in Swift (Third Edition): Implementing Practical Data Structures with Swift
  • Author : raywenderlich Tutorial Team, Kelvin Lau, Vincent Ngo
  • Release Date : *
  • Genre: Books,Computers & Technology,Databases & Big Data
  • Pages : * pages
  • Size : * KB

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