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Book Swift Data Structure and Algorithms

Download or read book Swift Data Structure and Algorithms written by Erik Azar and published by Packt Publishing Ltd. This book was released on 2016-11-18 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Data Structures   Algorithms in Swift  Fourth Edition

Download or read book Data Structures Algorithms in Swift Fourth Edition written by raywenderlich Tutorial Team and published by . This book was released on 2021-09-15 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 proper 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 to build more complex programs or ace a whiteboard interview.Topics Covered in Data Structures & Algorithms in Swift*Basic data structures and algorithms, 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 solve more complex problems in your apps elegantly.

Book Swift Algorithms and Data Structures

Download or read book Swift Algorithms and Data Structures written by Wayne Bishop and published by . This book was released on 2015-08-10 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Introduction to Algorithms and Data Structures in Swift 4

Download or read book Introduction to Algorithms and Data Structures in Swift 4 written by Karoly Nyisztor and published by Independently Published. This book was released on 2018-03-05 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: Take a closer look at algorithms and data structures and learn how to work with them to more efficiently approach software development with Swift. "Introduction to Algorithms and Data Structures in Swift 4" is a straightforward guide to solving coding problems more efficiently. In this comprehensive book, author Károly Nyisztor helps to familiarize yourself with algorithmic thinking and code optimization techniques. He explains each concept using easy-to-understand examples. He focuses on the practical application, using hands-on Swift code examples you can use for reference and practice. Throughout the book, Károly walks you through several demo applications to demonstrate the power of algorithms and the importance of picking the right solution.Topics include: - Algorithmic thinking- The Big O notation- Constant, linear, polynomial and logarithmic time complexity- Understanding recursion and avoiding pitfalls- Case studies for finding faster solutions- The power of Generics- Built-in Swift collection types- When to use a Set, an Array or a Dictionary?- Implementing selection sort, insertion sort, and bubble sort- Advanced sorting: quicksort and merge sortThe study of algorithms and data structures is fundamental to any programmer who plans to develop software systems that are scalable and performant. "Introduction to Algorithms and Data Structures in Swift 4" is the perfect book for you if you're interested in bringing your Swift coding skills to the next level.Student reviews from the companion course: "LOVE this instructor! His explanations are always clear and accurate, and his pacing is spot-on. Fantastic!" - Glenn"Speed is very good for the content being taught. The size of the videos is perfect for the depth of the topic being discussed." - Nick Perkins"Excellent clear presentation and covering the topic very well - recommended course!" - Graham Wright"Very well made and in-depth explanations. Easy to follow and a lot of visual references making it very easy to understand! Great course overall and highly recommended." - Peter West"This course gives me a much deeper understanding of how to write efficient and effective Swift code. It addresses things not covered in the various other crash courses on iOS development, things not apparent at first. I'd published several simple apps and games already but discovered I needed this information when I started working on a much more complex app and needed to understand how to improve my app's performance, so I searched for information on that and discovered this very helpful course." - Minni K. AngAbout the AuthorKároly Nyisztor is a veteran mobile developer and instructor.He has built several successful iOS apps and games-most of which were featured by Apple-and is the founder at LEAKKA, a software development, and tech consulting company. He's worked with companies such as Apple, Siemens, SAP, and Zen Studios.Currently, he spends most of his days as a professional software engineer and IT architect. In addition, he teaches object-oriented software design, iOS, Swift, Objective-C, and UML. As an instructor, his aim is to share his 20+ years of software development expertise and change the lives of students throughout the world. He's passionate about helping people reveal hidden talents, and guide them into the world of startups and programming.You can find his courses and books on all major platforms including Amazon, Lynda, LinkedIn Learning, Pluralsight, Udemy, and iTunes.

Book Data Structures and Algorithms in Swift

Download or read book Data Structures and Algorithms in Swift written by Elshad Karimov and published by Apress. This book was released on 2020-03-25 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: Control the performance and stability of the apps you develop in Swift by working with and understanding advanced concepts in data structures and algorithms. All professional developers have to know which data structure and algorithms to use in their development process. Your choice directly affects the performance of your application. With this book, you’ll increase the performance of your software, become a better developer, and even pass tricky interview questions better when looking at professional development opportunities. Guided by compact and practical chapters, you'll learn the nature and proper use of data structures such as arrays, dictionaries, sets, stacks, queues, lists, hash tables, trie, heaps, binary trees, red black trees, and R-trees. Use the main differences among them to determine which will make your applications efficient and faster. Then tackle algorithms. Work with Big O notation; sorting algorithms such as Insertion, Merge, and Quick; Naive and Rabin Karp algorithms; and Graph Algorithms. Data Structures and Algorithms in Swift encourages you to further and understand how to best choose the perfect algorithm for your application’s needs. What You'll Learn Retrieve, add, and remove elements in arraysImplement stacks, queues, and lists in your appsSort algorithms and choose the best ones for your apps Who This Book Is For Developers who have intermediate knowledge in Swift and want to improve their code performance and pass more complex interviews

Book Data Structures   Algorithms in Swift

Download or read book Data Structures Algorithms in Swift written by Raywenderlich Com Team and published by . This book was released on 2018-03-13 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Data Structures and Algorithms in Java

Download or read book Data Structures and Algorithms in Java written by Michael T. Goodrich and published by John Wiley & Sons. This book was released on 2014-01-28 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: The design and analysis of efficient data structures has long been recognized as a key component of the Computer Science curriculum. Goodrich, Tomassia and Goldwasser'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.

Book Swift Programming

    Book Details:
  • Author : Matthew Mathias
  • Publisher : Pearson Technology Group
  • Release : 2016-11-23
  • ISBN : 0134610695
  • Pages : 609 pages

Download or read book Swift Programming written by Matthew Mathias and published by Pearson Technology Group. This book was released on 2016-11-23 with total page 609 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Through the authors' carefully constructed explanations and examples, you will develop an understanding of Swift grammar and the elements of effective Swift style. This book is written for Swift 3.0 and will also show you how to navigate Xcode 8 and get the most out of Apple's documentation. Throughout the book, the authors share their insights into Swift to ensure that you understand the hows and whys of Swift and can put that understanding to use in different contexts. After working through the book, you will have the knowledge and confidence to develop your own solutions to a wide range of programming challenges using Swift.

Book Introduction to Algorithms  third edition

Download or read book Introduction to Algorithms third edition written by Thomas H. Cormen and published by MIT Press. This book was released on 2009-07-31 with total page 1313 pages. Available in PDF, EPUB and Kindle. Book excerpt: The latest edition of the essential text and professional reference, with substantial new material on such topics as vEB trees, multithreaded algorithms, dynamic programming, and edge-based flow. Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor. The first edition became a widely used text in universities worldwide as well as the standard reference for professionals. The second edition featured new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming. The third edition has been revised and updated throughout. It includes two completely new chapters, on van Emde Boas trees and multithreaded algorithms, substantial additions to the chapter on recurrence (now called “Divide-and-Conquer”), and an appendix on matrices. It features improved treatment of dynamic programming and greedy algorithms and a new notion of edge-based flow in the material on flow networks. Many exercises and problems have been added for this edition. The international paperback edition is no longer available; the hardcover is available worldwide.

Book Learn Computer Science with Swift

Download or read book Learn Computer Science with Swift written by Jesse Feiler and published by Apress. This book was released on 2017-12-15 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the basics of solving logic puzzles, and creating algorithms using Swift on Apple platforms. This book is based on the curriculum currently being used in common computer classes. You’ll learn to automate algorithmic processes that scale using Swift in the context of iOS, macOS, tvOS, and watchOS. Begin by understanding how to think computationally: to formulate a computational problem and recognize patterns and ways to validate it. Then jump ahead past the abstractions and conceptual work into using code snippets to build frameworks and write code using Xcode and Swift. Once you have frameworks in place, you’ll learn to use algorithms and structure data. Finally, you’ll see how to bring people into what you’ve built through a useable UI and how UI and code relate. What You'll Learn Recognize patterns and use abstractions Build code into reusable frameworks Manage code and share version control Solve logic puzzles Who This Book Is For Young professionals interested in learning computer science from an Apple platform standpoint.

Book Swift Algorithms and Data Structures

Download or read book Swift Algorithms and Data Structures written by Wayne Bishop and published by . This book was released on 2015-07-08 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Data Structures and Algorithms in C

Download or read book Data Structures and Algorithms in C written by Michael T. Goodrich and published by John Wiley & Sons. This book was released on 2011-02-22 with total page 739 pages. Available in PDF, EPUB and Kindle. Book excerpt: An updated, innovative approach to data structures and algorithms Written by an author team of experts in their fields, this authoritative guide demystifies even the most difficult mathematical concepts so that you can gain a clear understanding of data structures and algorithms in C++. The unparalleled author team incorporates the object-oriented design paradigm using C++ as the implementation language, while also providing intuition and analysis of fundamental algorithms. Offers a unique multimedia format for learning the fundamentals of data structures and algorithms Allows you to visualize key analytic concepts, learn about the most recent insights in the field, and do data structure design Provides clear approaches for developing programs Features a clear, easy-to-understand writing style that breaks down even the most difficult mathematical concepts Building on the success of the first edition, this new version offers you an innovative approach to fundamental data structures and algorithms.

Book Design Patterns in Swift 5  Learn how to Implement the Gang of Four Design Patterns Using Swift 5  Improve Your Coding Skills

Download or read book Design Patterns in Swift 5 Learn how to Implement the Gang of Four Design Patterns Using Swift 5 Improve Your Coding Skills written by Karoly Nyisztor and published by Swift Clinic. This book was released on 2019-03-26 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Software developers need to solve various problems. Many times, these problems are the same or similar to the ones they've already encountered in other projects. Wouldn't it be great to apply the solution you've found instead of reinventing the wheel over and over again?That's precisely the reason why software design patterns exist. A design pattern is a standardized way to address a recurring problem. Relying on a proven strategy will not only save you time, but you can rest assured that it's indeed the right choice. Design patterns are the result of a long evolution process. It all started with a book published in 1994 - yes, it's that old! - called "Design Patterns - Elements of Reusable Object-Oriented Software." That's a quite tedious title, so we usually refer to it as "the book by the gang of four." The gang consists of four renowned software engineers: Erich Gamma, Ralph Johnson, Richard Helm, and John Vlissides. They identified the most significant common issues that occurred in multiple projects and developed best practices to solve them. The best part: these solutions are (programming) language-agnostic. You can use the design patterns with any object-oriented programming language. Many modern programming languages and frameworks have integrated the GoF patterns. You don't have to write additional code to support say the Iterator or the Observer.Swift is no exception. Actually, it provides many advanced language features and constructs --such as type extensions, lazy initialization, and predefined protocols -- that let us adopt and integrate the design patterns into our projects easily. This book covers all these topics and provides best practices you can apply in your upcoming projects.

Book Combine  Asynchronous Programming with Swift

Download or read book Combine Asynchronous Programming with Swift written by Kodeco Team and published by . This book was released on 2023-07-19 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dive into Combine!Writing asynchronous code can be challenging, with a variety of possible interfaces to represent, perform and consume asynchronous work - delegates, notification center, KVO, closures, etc. Juggling all of these different mechanisms can be somewhat overwhelming. Does it have to be this hard? Not anymore!In this book, you'll learn about Combine - Apple's framework to work with asynchronous events in a unified and reactive way that ensures your app is always up to date based on the latest state of its data.Who This Book Is ForThis book is for intermediate iOS developers who already know the basics of iOS and Swift development but who are interested in taking their app and state management to the next level by learning declarative/reactive programming.You'll also enjoy this book if you're interested in SwiftUI, since many of the reactive capabilities keeping your SwiftUI views up-to-date are built on top of Combine.Topics Covered in Combine: Asynchronous Programming With SwiftWhat & Why: Learn what Combine and reactive programming are, the problems they solve and how you can unify all of your asynchronous pieces of work.Operators: Learn how to compose, transform, filter and otherwise manipulate different pieces of asynchronous work using operators.In Practice: Gain knowledge on various topics and techniques you'll leverage when writing your own real-life apps. You'll then practice these techniques with actual hands-on apps and projects.SwiftUI: Discover how Combine is deeply rooted within SwiftUI, providing it with the ability to reactively update its views based on the state of your app.Advanced Combine: Once you've got a handle on the basics, you'll dive into advanced Combine topics such as Error Handling, Schedulers, and Custom Publishers.By the end of this book, you'll be a pro in building full-fledged apps using Combine's various abilities.

Book Protocol Oriented Programming in Swift 5

Download or read book Protocol Oriented Programming in Swift 5 written by Karoly Nyisztor and published by Independently Published. This book was released on 2021-03-11 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding the Protocol-Oriented Programming (POP) paradigm is imperative if you plan on designing and implementing software using Swift 5. In this book, you'll learn how to work with POP to approach app development more efficiently. First, we review what POP is and how it differs from the classical object-oriented programming approach. Next, we discuss the pillars of this new paradigm: protocol extensions, protocol inheritance, and protocol composition. In the last part of this book, we're going to implement a fully functional app using the protocol-oriented approach. Topics include: What's protocol-oriented programming? The pillars of POP Defining method requirements Class-bound protocols Adopting a protocol Generics and protocols Implementing an app from scratch using POP Throughout the book, you'll acquire coding skills that can be applied in real-world situations. About the Author Karoly Nyisztor is a veteran software engineer and instructor. He has worked with large companies such as Apple, Siemens, and SAP. Karoly has designed and built several enterprise frameworks, and he holds twelve patents related to inventions in the field of mobile computing. After 18 years, he left the corporate world to start his own business. Since 2016, he's fully committed to teaching. As an instructor, he aims to share his 20+ years of software development expertise. Karoly teaches Software Architecture, Object-Oriented Programming and Design, Python, Swift and iOS Programming, and other, programming-related topics. You can find his courses and books on all major platforms including Amazon, LinkedIn Learning, Pluralsight, Udemy, and iTunes.

Book Mastering Algorithms with C

Download or read book Mastering Algorithms with C written by Kyle Loudon and published by "O'Reilly Media, Inc.". This book was released on 1999 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: Implementations, as well as interesting, real-world examples of each data structure and algorithm, are shown in the text. Full source code appears on the accompanying disk.

Book Classic Computer Science Problems in Python

Download or read book Classic Computer Science Problems in Python written by David Kopec and published by Simon and Schuster. This book was released on 2019-03-05 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Whether you're a novice or a seasoned professional, there's an Aha! moment in this book for everyone." - James Watson, Adaptive ”Highly recommended to everyone interested in deepening their understanding of Python and practical computer science.” —Daniel Kenney-Jung, MD, University of Minnesota Key Features • Master formal techniques taught in college computer science classes • Connect computer science theory to real-world applications, data, and performance • Prepare for programmer interviews • Recognize the core ideas behind most “new” challenges • Covers Python 3.7 Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About The Book Programming problems that seem new or unique are usually rooted in well-known engineering principles. Classic Computer Science Problems in Python guides you through time-tested scenarios, exercises, and algorithms that will prepare you for the “new” problems you’ll face when you start your next project. In this amazing book, you'll tackle dozens of coding challenges, ranging from simple tasks like binary search algorithms to clustering data using k-means. As you work through examples for web development, machine learning, and more, you'll remember important things you've forgotten and discover classic solutions that will save you hours of time. What You Will Learn • Search algorithms • Common techniques for graphs • Neural networks • Genetic algorithms • Adversarial search • Uses type hints throughout This Book Is Written For For intermediate Python programmers. About The Author David Kopec is an assistant professor of Computer Science and Innovation at Champlain College in Burlington, Vermont. He is the author of Dart for Absolute Beginners (Apress, 2014), Classic Computer Science Problems in Swift (Manning, 2018), and Classic Computer Science Problems in Java (Manning, 2020) Table of Contents 1. Small problems 2. Search problems 3. Constraint-satisfaction problems 4. Graph problems 5. Genetic algorithms 6. K-means clustering 7. Fairly simple neural networks 8. Adversarial search 9. Miscellaneous problems