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.
Key Features Focuses on simple explanations of techniques that can be applied to real-world problems Scope and presentation of material provide students with the knowledge necessary to do work in design, implementation, testing, on maintenance of any software systems Includes extensive illustrations and over figures to augment the text Chapter summary, multiple-choice questions, review questions and exercises given at the end of each chapter.
The purpose of this book is to teach you, a budding programmer, basics of Object-Oriented Programming, data structures, and advanced algorithms using Python version 3. Unlike many books currently on the market, a background in math is not required to read and understand this book as the data structures and concepts will be explained in simple terms.
Data structures and algorithms are presented at the college level in a highly accessible format that presents material with one-page displays in a way that will appeal to both teachers and students.
Key features: Complicated concepts are expressed clearly in a single page with minimal notation and without the "clutter" of the syntax of a particular programming language; algorithms are presented with self-explanatory "pseudo-code.
Sample exercises with solutions are provided. Sections that may be skipped for an introductory course are starred. Requires only some basic mathematics background and some computer programming experience.
The material is suitable for undergraduates or first-year graduates who need only review Chapters 1 A year-long course may be based on the entire book. Also, lower bounds on sorting by comparisons are included with the presentation of heaps in the context of lower bounds for comparison-based structures. Although it is not clear what parallel. Develop new algorithms and solutions to problems by combining advanced algorithms creatively in Python About This Video Focus on intuitive explanations and clean implementations No abstract math and no obfuscated code that offers little insight Discover how to put together multiple well-known concepts in order to come up with a solution to a problem that you haven't seen before Delve into efficient design and implementation techniques to meet your software requirements Enrich your knowledge of algorithms and data structures by learning concepts that you won't find as well-organized anywhere else In Detail As a developer, you'll have certainly heard about various data structures and algorithms.
However, have you ever thought profoundly about them and their impact on the performance of your applications? If not, it's high time to take a look at this topic, and this course is a one-stop guide to master it! This course will teach you the necessary theory and applications to properly understand the advanced algorithms and data structures that are critical to various problems and how to implement them. We'll also go hands-on and reveal tips and tricks for optimizations, identifying the right approaches and presenting convincing explanations.
And, you will get it all in a modern, popular, and well-documented language: Python. Finally, you'll learn how to develop complex algorithms that are easy to understand, debug, and reusable in various applications. By the end of the course, you'll know how to develop complex algorithms that are easy to understand, debug, and reusable in various applications. If you require support please email: [email protected]. 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. 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.
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.
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. Michael McMillan discusses the implementation of data structures and algorithms from the. NET framework. The comprehensive text includes basic data structures and algorithms plus advanced algorithms such as probabilistic algorithms and dynamics programming.
As an experienced JavaScript developer moving to server-side programming, you need to implement classic data structures and algorithms associated with conventional object-oriented languages like C and Java. This practical guide shows you how to work hands-on with a variety of storage mechanisms—including linked lists, stacks, queues, and graphs—within the constraints of the JavaScript environment. An overview of the JavaScript features used throughout the book is also included.
This book covers: Arrays and lists: the most common data structures Stacks and queues: more complex list-like data structures Linked lists: how they overcome the shortcomings of arrays Dictionaries: storing data as key-value pairs Hashing: good for quick insertion and retrieval Sets: useful for storing unique elements that appear only once Binary Trees: storing data in a hierarchical manner Graphs and graph algorithms: ideal for modeling networks Algorithms: including those that help you sort or search data Advanced algorithms: dynamic programming and greedy algorithms.
This book takes a practical approach to data structures and algorithms, with techniques and real-world scenarios that you can use in your daily production code. Graphics and examples make these computer science concepts understandable and relevant. You can use these techniques with any language; examples in the book are in JavaScript, Python, and Ruby. Playboy New Zealand November New Scientist International Edition August 03, Linux Format UK August Stuff UK January 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.
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