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.

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.

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:

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.

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:

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.

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.

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

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.

Download or read book SwiftUI by Tutorials Fourth Edition written by raywenderlich Tutorial Team and published by . This book was released on 2021-11-11 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn & Master SwiftUI!?Every developer wants to build the most fluid and engaging declarative UI for their apps with as little code as possible. SwiftUI will help you do just that. Learn all the main concepts through an easy-to-follow tutorials where you'll build apps that teach you to create modern, responsive UI and animations that look great on iOS, iPadOS, watchOS, tvOS, and even macOS.?Who This Book Is For?This book is for intermediate iOS developers who already know the basics of iOS, and who wish to know everything there is to know about SwiftUI.?Topics Covered in SwiftUI by Tutorials?SwiftUI Overview: Learn SwiftUI features, as well as the differences between Apple ́s platforms with SwiftUI. Customize your apps for AppKit, UIKit, WatchKit, tvOS, iPadOS and even Catalyst.Testability: See how to apply UI Testing to your SwiftUI apps in this very simple, yet powerful course.Controls & User Input: Learn about controls such as TextField, Button, Toggle, Slider, Stepper, pickers and many more.State & Data Flow: Learn how to bind data to the UI, about reactive updates to the UI through state management, and in-depth usage of the attributes related to SwiftUI.Accessibility: Learn how to navigate your app with VoiceOver on an iOS device and use the SwiftUI Accessibility API attributes to improve your app's accessible UI.Drawing Custom Graphics & Animations: Create drawings, graphics, animations and even view transitions in SwiftUI.macOS: Learn how to create a document-based Mac app and later start with an existing iOS app and learn how to re-use code, views and assets for creating a macOS app.One thing you can count on: After you finish reading this book, you'll be able to take advantage of the latest and greatest features of SwiftUI to bring modern declarative UX to your apps.

Download or read book Elements of Deep Learning for Computer Vision written by Bharat Sikka and published by BPB Publications. This book was released on 2021-06-24 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Conceptualizing deep learning in computer vision applications using PyTorch and Python libraries. KEY FEATURES ● Covers a variety of computer vision projects, including face recognition and object recognition such as Yolo, Faster R-CNN. ● Includes graphical representations and illustrations of neural networks and teaches how to program them. ● Includes deep learning techniques and architectures introduced by Microsoft, Google, and the University of Oxford. DESCRIPTION Elements of Deep Learning for Computer Vision gives a thorough understanding of deep learning and provides highly accurate computer vision solutions while using libraries like PyTorch. This book introduces you to Deep Learning and explains all the concepts required to understand the basic working, development, and tuning of a neural network using Pytorch. The book then addresses the field of computer vision using two libraries, including the Python wrapper/version of OpenCV and PIL. After establishing and understanding both the primary concepts, the book addresses them together by explaining Convolutional Neural Networks(CNNs). CNNs are further elaborated using top industry standards and research to explain how they provide complicated Object Detection in images and videos, while also explaining their evaluation. Towards the end, the book explains how to develop a fully functional object detection model, including its deployment over APIs. By the end of this book, you are well-equipped with the role of deep learning in the field of computer vision along with a guided process to design deep learning solutions. WHAT YOU WILL LEARN ● Get to know the mechanism of deep learning and how neural networks operate. ● Learn to develop a highly accurate neural network model. ● Access to rich Python libraries to address computer vision challenges. ● Build deep learning models using PyTorch and learn how to deploy using the API. ● Learn to develop Object Detection and Face Recognition models along with their deployment. WHO THIS BOOK IS FOR This book is for the readers who aspire to gain a strong fundamental understanding of how to infuse deep learning into computer vision and image processing applications. Readers are expected to have intermediate Python skills. No previous knowledge of PyTorch and Computer Vision is required. TABLE OF CONTENTS 1. An Introduction to Deep Learning 2. Supervised Learning 3. Gradient Descent 4. OpenCV with Python 5. Python Imaging Library and Pillow 6. Introduction to Convolutional Neural Networks 7. GoogLeNet, VGGNet, and ResNet 8. Understanding Object Detection 9. Popular Algorithms for Object Detection 10. Faster RCNN with PyTorch and YoloV4 with Darknet 11. Comparing Algorithms and API Deployment with Flask 12. Applications in Real World

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.

Download or read book Programming Language Pragmatics written by Michael L. Scott and published by Elsevier. This book was released on 2015-11-30 with total page 992 pages. Available in PDF, EPUB and Kindle. Book excerpt: Programming Language Pragmatics, Fourth Edition, is the most comprehensive programming language textbook available today. It is distinguished and acclaimed for its integrated treatment of language design and implementation, with an emphasis on the fundamental tradeoffs that continue to drive software development. The book provides readers with a solid foundation in the syntax, semantics, and pragmatics of the full range of programming languages, from traditional languages like C to the latest in functional, scripting, and object-oriented programming. This fourth edition has been heavily revised throughout, with expanded coverage of type systems and functional programming, a unified treatment of polymorphism, highlights of the newest language standards, and examples featuring the ARM and x86 64-bit architectures. Updated coverage of the latest developments in programming language design, including C & C++11, Java 8, C# 5, Scala, Go, Swift, Python 3, and HTML 5 Updated treatment of functional programming, with extensive coverage of OCaml New chapters devoted to type systems and composite types Unified and updated treatment of polymorphism in all its forms New examples featuring the ARM and x86 64-bit architectures

Download or read book Swift Apprentice Seventh Edition written by Eli Ganim and published by Razeware LLC. This book was released on 2021-10-26 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn How to Program with Swift 5.5!Swift is the easiest way to get started developing on Apple's platforms: iOS, iPadOS, macOS, watchOS and tvOS. In this book, you'll learn the basics of Swift from getting started with playgrounds to simple operations to building your own types. Everything you'll learn is platform-neutral; you'll have a firm understanding of Swift by the end of this book, and you'll be ready to move on to whichever app platform you're interested in.Who This Book Is For:This book is for complete beginners to Swift. No prior programming experience is necessary!Topics Covered in The Swift ApprenticePlayground basics: Learn about the coding environment where you can quickly and easily try out your code as you learn.Basic types: Numbers and strings are the basic kinds of data in any app - learn how to use them in Swift.Flow control: Your code doesn't always run straight through - learn how to use conditions and decide what to do.Functions: Group your code together into reusable chunks to run and pass around.Collection types: Discover the many ways Swift offers to store and organize data into collections.Protocols & protocol-oriented programming: Define protocols to make your code more interface-based and compositional.Advanced topics: Learn how to create custom operators, organize your code, write tests, manage memory, serialize your types, concurrency and so much more.After reading this book and completing your Swift apprenticeship by working through the included exercises and challenges, you'll be ready to take on app development on the platform of your choice!

Download or read book Interviewing in Swift Algorithms and Data Structures Your Guide in Helping You Prepare for the Real World of Software Engineering Interview written by John Ngoi and published by Independently Published. This book was released on 2018-10 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: Best selling book on Amazon and Kindle! Now with blockchain and cryptocurrency code.Written by a seasoned Silicon Valley technologist and programmer, this guide serves to help you prepare for the real world of software engineering interviews as an iOS or macOS developer. The book will cover learning data structures and how to apply these data structures to your algorithms to solve problems in a more efficient way.The book contains working Swift code examples for the version it was written in.

Download or read book AI for Games Third Edition written by Ian Millington and published by CRC Press. This book was released on 2019-03-18 with total page 1050 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI is an integral part of every video game. This book helps professionals keep up with the constantly evolving technological advances in the fast growing game industry and equips students with up-to-date information they need to jumpstart their careers. This revised and updated Third Edition includes new techniques, algorithms, data structures and representations needed to create powerful AI in games. Key Features A comprehensive professional tutorial and reference to implement true AI in games Includes new exercises so readers can test their comprehension and understanding of the concepts and practices presented Revised and updated to cover new techniques and advances in AI Walks the reader through the entire game AI development process

Download or read book Data Mining Introductory And Advanced Topics written by Margaret H Dunham and published by Pearson Education India. This book was released on 2006-09 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: