Swift Data Structure and Algorithms PDF Download
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Author: Erik Azar
Publisher: Packt Publishing Ltd
ISBN: 1785884654
Category : Computers
Languages : en
Pages : 280
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Book Description
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.
Author: Erik Azar
Publisher: Packt Publishing Ltd
ISBN: 1785884654
Category : Computers
Languages : en
Pages : 280
Get Book Here
Book Description
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.
Author: Wayne Bishop
Publisher:
ISBN: 9781320479240
Category :
Languages : en
Pages :
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Book Description
Author: raywenderlich Tutorial Team
Publisher:
ISBN: 9781950325405
Category :
Languages : en
Pages :
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Book Description
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.
Author: Elshad Karimov
Publisher: Apress
ISBN: 1484257693
Category : Computers
Languages : en
Pages : 215
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Book Description
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
Author: John Ngoi
Publisher: Independently Published
ISBN: 9781724187369
Category : Computers
Languages : en
Pages : 126
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Book Description
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.
Author: David Kopec
Publisher: Simon and Schuster
ISBN: 1638356548
Category : Computers
Languages : en
Pages : 262
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Book Description
Sharpen your coding skills by exploring established computer science problems! Classic Computer Science Problems in Java challenges you with time-tested scenarios and algorithms. Summary Sharpen your coding skills by exploring established computer science problems! Classic Computer Science Problems in Java challenges you with time-tested scenarios and algorithms. You’ll work through a series of exercises based in computer science fundamentals that are designed to improve your software development abilities, improve your understanding of artificial intelligence, and even prepare you to ace an interview. 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! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Whatever software development problem you’re facing, odds are someone has already uncovered a solution. This book collects the most useful solutions devised, guiding you through a variety of challenges and tried-and-true problem-solving techniques. The principles and algorithms presented here are guaranteed to save you countless hours in project after project. About the book Classic Computer Science Problems in Java is a master class in computer programming designed around 55 exercises that have been used in computer science classrooms for years. You’ll work through hands-on examples as you explore core algorithms, constraint problems, AI applications, and much more. What's inside Recursion, memoization, and bit manipulation Search, graph, and genetic algorithms Constraint-satisfaction problems K-means clustering, neural networks, and adversarial search About the reader For intermediate Java programmers. About the author David Kopec is an assistant professor of Computer Science and Innovation at Champlain College in Burlington, Vermont. 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 10 Interview with Brian Goetz
Author: Rob Kerr
Publisher: Packt Publishing Ltd
ISBN: 1789538645
Category : Computers
Languages : en
Pages : 202
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Book Description
Swift greatly simplifies the process of developing applications for Apple devices. This book provides you with the essential skills to help you get started with developing applications using Swift. Key Features Teaches you how to correctly structure and architect software using Swift Uses real-world examples to connect the theory to a professional setting Imparts expertise in the core Swift standard library Book Description Take your first foray into programming for Apple devices with Swift.Swift is fundamentally different from Objective-C, as it is a protocol-oriented language. While you can still write normal object-oriented code in Swift, it requires a new way of thinking to take advantage of its powerful features and a solid understanding of the basics to become productive. What you will learn Explore the fundamental Swift programming concepts, language structure, and the Swift programming syntax Learn how Swift compares to other computer languages and how to transform your thinking to leverage new concepts such as optionals and protocols Master how to use key language elements, such as strings and collections Grasp how Swift supports modern application development using advanced features, such as built-in Unicode support and higher-order functions Who this book is for If you are seeking fundamental Swift programming skills, in preparation for learning to develop native applications for iOS or macOS, this book is the best for you. You don’t need to have any prior Swift knowledge; however, object-oriented programming experience is desired.
Author: Matthew Mathias
Publisher: Pearson Technology Group
ISBN: 0134610695
Category : Computers
Languages : en
Pages : 611
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Book Description
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.
Author: Karoly Nyisztor
Publisher: Independently Published
ISBN: 9781973291749
Category :
Languages : en
Pages : 142
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Book Description
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.
Author: Raywenderlich Com Team
Publisher:
ISBN: 9781942878483
Category : Application software
Languages : en
Pages : 280
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Book Description
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.
