Data Structures Algorithms In Swift Fourth Edition
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Data Structures Algorithms In Swift Third Edition Implementing Practical Data Structures With Swift
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Author : Kelvin Lau
language : en
Publisher:
Release Date : 2019-12-12
Data Structures Algorithms In Swift Third Edition Implementing Practical Data Structures With Swift written by Kelvin Lau and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-12 with Computers categories.
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 For This 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 Swift Basic 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.
Swift Data Structure And Algorithms
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Author : Erik Azar
language : en
Publisher: Packt Publishing Ltd
Release Date : 2016-11-18
Swift Data Structure And Algorithms written by Erik Azar and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-18 with Computers categories.
Master the most common algorithms and data structures, and learn how to implement them efficiently using the most up-to-date features of Swift 3 About This Book Develop a deep understanding of the collections in the Swift Standard Library with this step-by-step guide Develop native Swift data structures and algorithms for use in mobile, desktop, and server-based applications Learn about performance efficiency between different data structures and algorithms Who This Book Is For This book is for developers who want to learn how to implement and use common data structures and algorithms natively in Swift. Whether you are a self-taught developer without a formal technical background or you have a degree in Computer Science, this book will provide with the knowledge you need to develop advanced data structures and algorithms in Swift using the latest language features. What You Will Learn Get to know about the basic data structures and how to use the Swift REPL Use the Swift Standard Library collections bridging to Objective-C collections, and find out about protocol-oriented programming Find out about Swift generators and sequences, and see how to use them to implement advanced data structures such as Stack, StackList, Queue, and LinkedList Implement sorting algorithms such as Insertion Sort, Merge Sort, and Quick Sort and understand the performance trade-offs between them See how to implement various binary trees, B-Tree, and Splay Trees Perform advanced searching methods using Red-Black trees, AVL trees, and Trie trees, and take a look at several substring search algorithms Get to know about the data structures used in graphs and how to implement graphs such as depth-first search, breadth-first search, directed graphs, spanning tree, and shortest path Explore algorithm efficiency and see how to measure it In Detail Apple's Swift language has expressive features that are familiar to those working with modern functional languages, but also provides backward support for Objective-C and Apple's legacy frameworks. These features are attracting many new developers to start creating applications for OS X and iOS using Swift. Designing an application to scale while processing large amounts of data or provide fast and efficient searching can be complex, especially running on mobile devices with limited memory and bandwidth. Learning about best practices and knowing how to select the best data structure and algorithm in Swift is crucial to the success of your application and will help ensure your application is a success. That's what this book will teach you. Starting at the beginning, this book will cover the basic data structures and Swift types, and introduce asymptotic analysis. You'll learn about the standard library collections and bridging between Swift and Objective-C collections. You will see how to implement advanced data structures, sort algorithms, work with trees, advanced searching methods, use graphs, and performance and algorithm efficiency. You'll also see how to choose the perfect algorithm for your problem. Style and approach This easy-to-follow yet comprehensive guide can either be read from beginning to end, or depending on your current knowledge level, you can jump to the specific chapter that interests you. Each chapter topic starts with an introduction to the topic and algorithm before moving on to the hands-on implementation and analysis.
Data Structures Algorithms In Swift
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Author : Raywenderlich Com Team
language : en
Publisher:
Release Date : 2018-03-13
Data Structures Algorithms In Swift written by Raywenderlich Com Team and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-13 with Application software categories.
The book focuses initially on linked lists. Discussion of trees escalates from from binary search trees to culminate in dynamically, self-balancing AVL trees where search, insertion or removal are all generally O(log n). Where the time complexity serves as a natural transition, the book then turns to search such as binary search being O(log n), as covered in Chapter 12, or other searching such as breadth or depth first searching in Chapter 20 and Chapter 21 and sorting algorithms such as comparison based sorting (i.e., bubble, selection, or insertion in Chapter 14) or other types of sorting such as merge in Chapter 15, radix in Chapter 16, or heap in Chapter 17. The book covers heap in Chapter 12, stack in Chapter 4, queues in Chapter 5 & Chapter 13, graphs in Chapter 19, Dijkstra's algorithm in Chapter 22 and prim's in Chapter 23--Book review by Eric Giannini.
Data Structures And Algorithms In C
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Author : Michael T. Goodrich
language : en
Publisher: John Wiley & Sons
Release Date : 2011-02-22
Data Structures And Algorithms In C written by Michael T. Goodrich and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02-22 with Computers categories.
This second edition of Data Structures and Algorithms in C++ is designed to provide an introduction to data structures and algorithms, including their design, analysis, and implementation. The authors offer an introduction to object-oriented design with C++ and design patterns, including the use of class inheritance and generic programming through class and function templates, and retain a consistent object-oriented viewpoint throughout the book. This is a “sister” book to Goodrich & Tamassia’s Data Structures and Algorithms in Java, but uses C++ as the basis language instead of Java. This C++ version retains the same pedagogical approach and general structure as the Java version so schools that teach data structures in both C++ and Java can share the same core syllabus. In terms of curricula based on the IEEE/ACM 2001 Computing Curriculum, this book is appropriate for use in the courses CS102 (I/O/B versions), CS103 (I/O/B versions), CS111 (A version), and CS112 (A/I/O/F/H versions).
Classic Computer Science Problems In Swift
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Author : David Kopec
language : en
Publisher: Simon and Schuster
Release Date : 2018-03-24
Classic Computer Science Problems In Swift written by David Kopec and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-24 with Computers categories.
Summary Classic Computer Science Problems in Swift invites readers to invest their energy in some foundational techniques that have been proven to stand the test of time. Along the way they'll learn intermediate and advanced features of the Swift programming language, a worthwhile skill in its own right. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Don't just learn another language. Become a better programmer instead. Today's awesome iOS apps stand on the shoulders of classic algorithms, coding techniques, and engineering principles. Master these core skills in Swift, and you'll be ready for AI, data-centric programming, machine learning, and the other development challenges that will define the next decade. About the Book Classic Computer Science Problems in Swift deepens your Swift language skills by exploring foundational coding techniques and algorithms. As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten and discover classic solutions to your "new" problems. You'll appreciate author David Kopec's amazing ability to connect the core disciplines of computer science to the real-world concerns of apps, data, performance, and even nailing your next job interview! What's Inside Breadth-first, depth-first, and A* search algorithms Constraint-satisfaction problems Solving problems with graph algorithms Neural networks, genetic algorithms, and more All examples written in Swift 4.1 About the Reader For readers comfortable with the basics of Swift. About the Author David Kopec is an assistant professor of computer science and innovation at Champlain College in Burlington, Vermont. He is an experienced iOS developer and the author of Dart for Absolute Beginners. Table of Contents Small problems Search problems Constraint-satisfaction problems Graph problems Genetic algorithms K-means clustering Fairly simple neural networks Miscellaneous problems
Data Structures And Algorithms In Java
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Author : Michael T. Goodrich
language : en
Publisher: Wiley Global Education
Release Date : 2014-09-18
Data Structures And Algorithms In Java written by Michael T. Goodrich and has been published by Wiley Global Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-18 with Computers categories.
The design and analysis of efficient data structures has long been recognized as a key component of the Computer Science curriculum. Goodrich and Tomassia's approach to this classic topic is based on the object-oriented paradigm as the framework of choice for the design of data structures. For each ADT presented in the text, the authors provide an associated Java interface. Concrete data structures realizing the ADTs are provided as Java classes implementing the interfaces. The Java code implementing fundamental data structures in this book is organized in a single Java package, net.datastructures. This package forms a coherent library of data structures and algorithms in Java specifically designed for educational purposes in a way that is complimentary with the Java Collections Framework.
Data Structures Algorithms In Kotlin First Edition
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Author : raywenderlich Tutorial Team
language : en
Publisher:
Release Date : 2019-09-18
Data Structures Algorithms In Kotlin First Edition written by raywenderlich Tutorial Team and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-18 with categories.
Mastering Ios 14 Programming
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Author : Mario Eguiluz Alebicto
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-03-19
Mastering Ios 14 Programming written by Mario Eguiluz Alebicto and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-19 with Computers categories.
Become a professional iOS developer with the most in-depth and advanced guide to Swift 5.3, Xcode 12.4, ARKit 4, Core ML, and iOS 14’s new features Key FeaturesExplore the world of iOS app development through practical examplesUnderstand core iOS programming concepts such as Core Data, networking, and the Combine frameworkExtend your iOS apps by adding augmented reality and machine learning capabilities, widgets, App Clips, Dark Mode, and animationsBook Description Mastering iOS 14 development isn’t a straightforward task, but this book can help you do just that. With the help of Swift 5.3, you’ll not only learn how to program for iOS 14 but also be able to write efficient, readable, and maintainable Swift code that reflects industry best practices. This updated fourth edition of the iOS 14 book will help you to build apps and get to grips with real-world app development flow. You’ll find detailed background information and practical examples that will help you get hands-on with using iOS 14's new features. The book also contains examples that highlight the language changes in Swift 5.3. As you advance through the chapters, you'll see how to apply Dark Mode to your app, understand lists and tables, and use animations effectively. You’ll then create your code using generics, protocols, and extensions and focus on using Core Data, before progressing to perform network calls and update your storage and UI with the help of sample projects. Toward the end, you'll make your apps smarter using machine learning, streamline the flow of your code with the Combine framework, and amaze users by using Vision framework and ARKit 4.0 features. By the end of this iOS development book, you’ll be able to build apps that harness advanced techniques and make the best use of iOS 14’s features. What you will learnBuild a professional iOS application using Xcode 12.4 and Swift 5.3Create impressive new widgets for your apps with iOS 14Extend the audience of your app by creating an App ClipImprove the flow of your code with the Combine frameworkEnhance your app by using Core LocationIntegrate Core Data to persist information in your appTrain and use machine learning models with Core MLCreate engaging augmented reality experiences with ARKit 4 and the Vision frameworkWho this book is for This book is for developers with some experience in iOS programming who want to enhance their application development skills by unlocking the full potential of the latest iOS version with Swift.
Algorithms In A Nutshell
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Author : George T. Heineman
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2008-10-14
Algorithms In A Nutshell written by George T. Heineman and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-10-14 with Computers categories.
Creating robust software requires the use of efficient algorithms, but programmers seldom think about them until a problem occurs. Algorithms in a Nutshell describes a large number of existing algorithms for solving a variety of problems, and helps you select and implement the right algorithm for your needs -- with just enough math to let you understand and analyze algorithm performance. With its focus on application, rather than theory, this book provides efficient code solutions in several programming languages that you can easily adapt to a specific project. Each major algorithm is presented in the style of a design pattern that includes information to help you understand why and when the algorithm is appropriate. With this book, you will: Solve a particular coding problem or improve on the performance of an existing solution Quickly locate algorithms that relate to the problems you want to solve, and determine why a particular algorithm is the right one to use Get algorithmic solutions in C, C++, Java, and Ruby with implementation tips Learn the expected performance of an algorithm, and the conditions it needs to perform at its best Discover the impact that similar design decisions have on different algorithms Learn advanced data structures to improve the efficiency of algorithms With Algorithms in a Nutshell, you'll learn how to improve the performance of key algorithms essential for the success of your software applications.
Introduction To Algorithms Fourth Edition
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Author : Thomas H. Cormen
language : en
Publisher: MIT Press
Release Date : 2022-04-05
Introduction To Algorithms Fourth Edition written by Thomas H. Cormen and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-05 with Computers categories.
A comprehensive update of the leading algorithms text, with new material on matchings in bipartite graphs, online algorithms, machine learning, and other topics. Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. It covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers, with self-contained chapters and algorithms in pseudocode. Since the publication of the first edition, Introduction to Algorithms has become the leading algorithms text in universities worldwide as well as the standard reference for professionals. This fourth edition has been updated throughout. New for the fourth edition New chapters on matchings in bipartite graphs, online algorithms, and machine learning New material on topics including solving recurrence equations, hash tables, potential functions, and suffix arrays 140 new exercises and 22 new problems Reader feedback–informed improvements to old problems Clearer, more personal, and gender-neutral writing style Color added to improve visual presentation Notes, bibliography, and index updated to reflect developments in the field Website with new supplementary material Warning: Avoid counterfeit copies of Introduction to Algorithms by buying only from reputable retailers. Counterfeit and pirated copies are incomplete and contain errors.