Название: Jetpack Compose 1.5 Essentials: Developing Android Apps with Jetpack Compose 1.5, Android Studio, and Kotlin
Автор: Nеil Smуth
Издательство: Payload Media, Inc.
Год: 2024
Страниц: 636
Язык: английский
Формат: epub
Размер: 10.5 MB

This book teaches you how to build Android applications using Jetpack Compose 1.5, Android Studio Hedgehog (2023.1.1), Material Design 3, and the Kotlin programming language. The book begins with the basics by explaining how to set up an Android Studio development environment. The book also includes in-depth chapters introducing the Kotlin programming language, including data types, operators, control flow, functions, lambdas, coroutines, and object-oriented programming. If you are new to Kotlin programming, the entire book is appropriate for you. An introduction to the key concepts of Jetpack Compose and Android project architecture is followed by a guided tour of Android Studio in Compose development mode. The book also covers the creation of custom Composables and explains how functions are combined to create user interface layouts, including row, column, box, flow, pager, and list components. Other topics covered include data handling using state properties and key user interface design concepts such as modifiers, navigation bars, and user interface navigation. Additional chapters explore building your own reusable custom layout components, securing your apps with Biometric authentication, and integrating Google Maps. The book covers graphics drawing, user interface animation, transitions, Kotlin Flows, and gesture handling.

Название: Robust Machine Learning Distributed Methods for Safe AI
Автор: Rасhid Guеrrаоui, Niruраm Guрta, Rаfаеl Рinоt
Издательство: Springer
Серия: Machine Learning: Foundations, Methodologies, and Applications
Год: 2024
Страниц: 180
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Today, Machine Learning algorithms are often distributed across multiple machines to leverage more computing power and more data. However, the use of a distributed framework entails a variety of security threats. In particular, some of the machines may misbehave and jeopardize the learning procedure. This could, for example, result from hardware and software bugs, data poisoning or a malicious player controlling a subset of the machines. This book explains in simple terms what it means for a distributed Machine Learning scheme to be robust to these threats, and how to build provably robust Machine Learning algorithms. Studying the robustness of Machine Learning algorithms is a necessity given the ubiquity of these algorithms in both the private and public sectors. Accordingly, over the past few years, we have witnessed a rapid growth in the number of articles published on the robustness of distributed Machine Learning algorithms. We believe it is time to provide a clear foundation to this emerging and dynamic field. By gathering the existing knowledge and democratizing the concept of robustness, the book provides the basis for a new generation of reliable and safe Machine Learning schemes. In addition to introducing the problem of robustness in modern Machine Learning algorithms, the book will equip readers with essential skills for designing distributed learning algorithms with enhanced robustness. This book is intended for students, researchers, and practitioners interested in AI systems in general, and in Machine Learning schemes in particular. The book requires certain basic prerequisites in linear algebra, calculus, and probability. Some understanding of computer architectures and networking infrastructures would be helpful.

Название: Modern API Design with gRPC: Efficient Solutions to Design Modern APIs with gRPC Using Golang for Scalable Distributed Systems
Автор: Нitеsh Раttаnауаk
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 331
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.1 MB

Elevate Your Development with Effortless and Efficient API Communication. “Modern API Design with gRPC” is a definitive guide that empowers developers to leverage the full potential of gRPC in constructing efficient and scalable distributed systems. Beginning with an exploration of API evolution and its significance in software development, the book seamlessly transitions into the core concepts of gRPC architecture, protocol buffers, and stubs. Through practical examples and clear instructions, readers embark on a journey to establish their first gRPC server and client, laying a solid groundwork for further exploration. An API, or ‘Application Programming Interface,’ serves as a bridge between software components. I personally perceive the origin of APIs in the pursuit of ‘Code Reusability,’ akin to the motivation behind crafting functions. What sets APIs apart from functions is their inherent ‘Remote-ness,’ where APIs are stationed at network-accessible locations. This book caters to intermediate to advanced software developers and programmers aiming to enhance their expertise in modern API development using gRPC. Prior familiarity with fundamental software development concepts and proficiency in at least one programming language such as C++, Python, Ruby, Objective-C, PHP, C# are recommended to fully comprehend the concepts presented in this guide.

Название: Coding For Beginners - 18th Edition, 2024
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2024
Язык: английский
Формат: pdf
Размер: 46.8 MB

Coding For Beginners - это первый и единственный выбор, если вы новичок и хотите узнать все, что вам нужно для начала работы с кодированием и программированием. Это независимое руководство наполнено полезными рекомендациями и пошаговыми полностью иллюстрированными учебниками, написанными на простом и понятном английском языке. На страницах этого нового руководства вы узнаете все, что вам нужно знать о создании собственных удивительных приложений. С этим неофициальным руководством ни одна проблема не будет неразрешимой, ни один вопрос не останется без ответа, пока вы учитесь, изучаете и совершенствуете свои навыки программирования.

Название: Handbook of Truly Concurrent Process Algebra
Автор: Yоng Wаng
Издательство: Morgan Kaufmann/Elsevier
Год: 2024
Страниц: 648
Язык: английский
Формат: pdf (true)
Размер: 15.0 MB

Handbook of Truly Concurrent Process Algebra provides readers with a detailed and in-depth explanation of the algebra used for concurrent computing. This complete handbook is divided into five Parts: Algebraic Theory for Reversible Computing, Probabilistic Process Algebra for True Concurrency, Actors – A Process Algebra-Based Approach, Secure Process Algebra, and Verification of Patterns. The author demonstrates actor models which are captured using the following characteristics: Concurrency, Asynchrony, Uniqueness, Concentration, Communication Dependency, Abstraction, and Persistence. Every pattern is detailed according to a regular format to be understood and utilized easily, which includes introduction to a pattern and its verifications. Patterns of the vertical domains are also provided, including the domains of networked objects and resource management. To help readers develop and implement the software patterns scientifically, the pattern languages are also presented. Reversible computing is an interesting topic in Computer Science. Reversible computing has been used in many area, such as quantum computing, transactions in databases, and business transactions. In these application areas, there are two aspects of reversible computing: one is that there is a corresponding reverse atomic action for each atomic action, so it is reversible at the level of atomic action; the other is in program logic, for the forward logic is important and the reverse logic is important too. The relation between the forward logic and reverse logic is the main content of reversible computing.

Название: Python Asynchronous Programming for Beginners: Write Faster, More Responsive Python Applications! The Beginner's Guide to Async/Await! From Fundamentals to Real-world Applications
Автор: Каtiе Мilliе
Издательство: Independently published
Серия: Python Trailblazer’s Bible
Год: 2024
Страниц: 154
Язык: английский
Формат: pdf
Размер: 27.0 MB

Python Asyncio for Beginners: Conquer Responsiveness and Build Blazing-Fast Apps. Imagine a world where your Python applications respond instantly, handling multiple tasks with ease. No more sluggish interfaces or frustrated users. Python Asynchronous Programming for Beginners is your launchpad to this future. This book isn't a dusty textbook. It's your interactive coding buddy, designed specifically for beginners. Whether you're a complete novice or have some Python experience, we'll guide you from the ground up. You'll learn to master asynchronous programming, the secret weapon for building modern, lightning-fast Python applications. Solid Python Foundations: We'll ensure you have a strong grasp of Python basics like variables, data types, control flow, and functions before diving into asynchronous concepts. Demystifying Asynchronous Programming: Uncover the core principles of this powerful technique, including concurrency, non-blocking I/O, and event loops. Mastering asyncio: The asyncio library is your asynchronous programming toolkit. We'll guide you through its functionalities, from tasks and coroutines to managing asynchronous operations with ease. Conquering Async/Await Syntax: Learn how to write asynchronous code using the powerful async/await keywords. Chaining asynchronous calls and handling results will become second nature. Building Asynchronous Applications: The fun part! We'll guide you through building real-world applications, like making lightning-fast web requests or creating dynamic user experiences.

Название: Introduction to Artificial Intelligence (AI)
Автор: Аhmеd Ваnаfа
Издательство: River Publishers
Год: 2024
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Introduction to Artificial Intelligence (AI) provides a comprehensive overview of the latest trends in Artificial Intelligence. The book covers the state of the art in AI research, including Machine Learning, natural language processing (NLP), computer vision, and robotics. The book offers a forward-looking perspective on the future of AI, exploring the emerging trends and applications that are likely to shape the next decade of AI innovation. It also provides practical guidance for businesses and individuals on how to leverage the power of AI to create new products, services, and opportunities. Artificial Intelligence (AI) is a term that refers to the capability of machines or computer programs to perform tasks that typically require human intelligence, such as learning, problem-solving, and decision-making. The field of AI has been around for several decades, but recent advances in technology have led to a rapid increase in its capabilities and applications. In this chapter, we will explore what AI is, how it works, and its current and potential future applications.

Название: MEAN Stack Web Development: Scalable, Structured, & Extensive Approach (javascript Frameworks)
Автор: Тhеорhilus Еdеt
Издательство: CompreQuest Books
Год: 2024
Страниц: 287
Язык: английский
Формат: pdf
Размер: 26.0 MB

Mastering MEAN: Your Ultimate Guide to Revolutionary Web Development Techniques. Are you looking to revolutionize your web development skills? Dive into the world of MEAN stack development with our book, "MEAN Stack Web Development: Scalable, Structured, & Extensive Approach." Whether you're a seasoned developer or just starting out, this title promises to captivate your attention with its comprehensive approach to building modern web applications. Discover the power of the MEAN stack – MongoDB, Express.js, Angular, and Node.js – and unlock endless possibilities for your web projects. With a focus on scalability, structure, and extensive coverage of key concepts, this book is designed to pique your interest and elevate your development skills to new heights. Imagine having the ability to create dynamic and feature-rich web applications that scale effortlessly to meet the demands of your users. With our book, you can turn that desire into reality. Gain the knowledge and expertise needed to architect robust applications that deliver unparalleled performance and user experience.

Название: Python Essentials For Dummies
Автор: Jоhn С. Shоviс, Аlаn Simрsоn
Издательство: For Dummies
Год: 2024
Страниц: 192
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

The no-nonsense way to get started coding in the Python programming language. Python Essentials For Dummies is a quick reference to all the core concepts in Python, the multifaceted general-purpose language used for everything from building websites to creating apps. This book gets right to the point, with no excess review, wordy explanations, or fluff, making it perfect as a desk reference on the job or as a brush-up as you expand your skills in related areas. Focusing on just the essential topics you need to know to brush up or level up your Python skill, this is the reliable little book you can always turn to for answers. Python is the number-one language because it’s easy to learn and use, due partly to its simplified syntax and natural-language flow but also to the amazing user community and the breadth of applications available. This book is a reference manual to guide you through the process of learning the essentials of Python. If you’re looking to learn a little about a lot of exciting things, this is the book for you. It gives you an introduction to the topics that you’ll need to explore more deeply. This is a hands-on book, with examples and code throughout. You’ll enter the code, run it, and then modify it to do what you want. In this book, we take you through the basics of the Python language in small, easy-to-understand steps.

Название: Artificial Intelligence in Forecasting: Tools and Techniques
Автор: Sасhi Nаndаn Моhаntу, Рrееthi Nаnjundаn, Теjаswini Каr
Издательство: CRC Press
Год: 2024
Страниц: 365
Язык: английский
Формат: pdf (true)
Размер: 12.4 MB

Forecasting deals with the uncertainty of the future. To be effective, forecasting models should be timely available, accurate, reliable, and compatible with existing database. Accurate projection of the future is of vital importance in supply chain management, inventory control, economic condition, technology, growth trend, social change, political change, business, weather forecasting, stock price prediction, earthquake prediction, etc. AI powered tools and techniques of forecasting play a major role in improving the projection accuracy. The software running AI forecasting models use Machine Learning to improve accuracy. Artificial Intelligence (AI) has revolutionized the way forecasting is made in many industries, from finance to retail to healthcare. In today’s fast-paced world, accurate forecasting is essential for businesses to make informed decisions and stay ahead of the competition. The article looks at different tools and techniques used in AI for Forecasting and highlights their advantages and limitations. One of the most widely used AI tools for forecasting is Machine Learning (ML). ML is a subset of AI that allows computer systems to learn from data without being explicitly programmed. Forecasting trains ML algorithms on historical data to identify patterns and relationships that can be used to predict future outcomes. Many ML techniques are available, including regression analysis, decision trees, and neural networks.