LitMy.ru - литература в один клик

  • Добавил: literator
  • Дата: 22-05-2024, 17:14
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Название: Metal by Tutorials (Fourth Edition): Beginning Game Engine Development With Metal
Автор: Caroline Begbie, Marius Horga
Издательство: Kodeco Inc.
Год: 2023
Страниц: 806
Язык: английский
Формат: pdf (true)
Размер: 47.0 MB

Build your own low-level game engine in Metal! This book introduces you to graphics programming in Metal — Apple’s framework for programming on the GPU. You’ll build your own game engine in Metal where you can create 3D scenes and build your own 3D games. Metal is a unified, low-level, low-overhead application programming interface (API) for the graphics processing unit, or GPU. It’s unified because it applies to both 3D graphics and data-parallel computation paradigms. Metal is a low-level API because it provides programmers near-direct access to the GPU. Finally, Metal is a low-overhead API because it reduces the runtime cost by multi-threading and pre-compiling of resources. But beyond the technical definition, Metal is the most appropriate way to use the parallel processing power of Apple GPUs to visualize data or solve numerical challenges. It’s also tailored to be used for Machine Learning, image/video processing or, as this book describes, graphics rendering. This book introduces you to low-level graphics programming in Metal — Apple’s framework for programming on the graphics processing unit (GPU). As you progress through this book, you’ll learn many of the fundamentals that go into making a game engine and gradually put together your own engine. Once your game engine is complete, you’ll be able to put together 3D scenes and program your own simple 3D games. Because you’ll have built your 3D game engine from scratch, you’ll be able to customize every aspect of what you see on your screen. This book is for intermediate Swift developers interested in learning 3D graphics or gaining a deeper understanding of how game engines work.
  • Добавил: literator
  • Дата: 22-05-2024, 16:04
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Название: Flutter Apprentice (Fourth Edition): Learn to Build Cross-Platform Apps
Автор: Kevin David Moore, Vincent Ngo, Stef Patterson, Alejandro Ulate Fallas
Издательство: Kodeco Inc.
Год: 2024
Страниц: 653
Язык: английский
Формат: pdf (true)
Размер: 35.5 MB

Build your Apps With Flutter! Flutter is an exciting development toolkit that lets you build apps for iOS, Android and even web and desktop, all from a single codebase. It uses a declarative approach to UI development. You can "hot reload" code while developing, and apps will perform at native speed thanks to its custom rendering engine. With Flutter and Flutter Apprentice, you can achieve the dream of building fast applications, faster. Flutter is an incredible user interface (UI) toolkit that lets you build apps for iOS and Android — and even the web and desktop platforms like macOS, Windows and Linux — all from a single codebase. Flutter has all the benefits of other cross-platform tools, especially because you’re targeting multiple platforms from one codebase. Furthermore, it improves upon most cross-platform tools thanks to a super-fast rendering engine that makes your Flutter apps perform as native apps. In addition, Flutter features are generally independent of native features, since you use Flutter’s own type of UI elements, called widgets, to create your UI. And Flutter has the ability to work with native code, so you can integrate your Flutter app with native features when you need to. If you’re coming from a platform like iOS or Android, you’ll find the Flutter development experience refreshing! Thanks to a feature called “hot reload”, you rarely need to rebuild your apps as you develop them. This book is for developers who are new to Flutter, and also developers that already have some experience with building apps for the iOS and Android platforms, or web apps.
  • Добавил: literator
  • Дата: 22-05-2024, 15:24
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Название: Kotlin Multiplatform by Tutorials (Second Edition): Build Native Apps Faster by Sharing Code Across Platforms
Автор: Kevin D. Moore, Carlos Mota, Saeed Taheri
Издательство: Kodeco Inc.
Год: 2023
Страниц: 488
Язык: английский
Формат: pdf (true)
Размер: 36.6 MB

Learn How to Use Kotlin to Share Code Across Platforms. Application developers have to often repeat the same code across multiple platforms, which is not only time-consuming but also error-prone. Most documentation targets only specific use cases but misses out on the nuances essential to sharing code effectively across platforms. Kotlin Multiplatform by Tutorials will help you efficiently implement real-world apps for different platforms by sharing common code. If your goal is to leverage Kotlin to share code among your native apps, this is the book for you. Maintaining multiple native apps with duplicated code can be a time-consuming process. This duplication also increases the testing effort, eventually slowing down the project and increasing costs. You can use Kotlin Multiplatform to share code between your Android, iOS and desktop apps but there are multiple considerations. You should be able to develop the UI natively using the framework of your choice. Using the right frameworks can drastically reduce the UI development time and provide you with flexible APIs. At the same time, you need to figure out how Kotlin Multiplatform fits in with your current architecture and how you can access platform-specific APIs. Choosing the right architecture can make your app testable, maintainable and easy to work with. This book is for mobile developers and managers who want to explore how they can use Kotlin Multiplatform to share code across Android, iOS and desktop apps. If you want to reduce development and testing time by writing certain parts of your apps only once, this book will help.
  • Добавил: literator
  • Дата: 22-05-2024, 11:58
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Название: C# 10 Clean Architecture with .NET 6: A Beginner's Guide to Building Maintainable,Tastable, Scalable and Resilient Applications
Автор: Katie Millie
Издательство: Independently published
Год: 2024
Страниц: 171
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

C# 10 Clean Architecture with .NET 6: Build Unbreakable, Testable, and Future-Proof Applications. Tired of spaghetti code? Struggling with untestable applications that crumble under change? C# 10 Clean Architecture with .NET 6 is your path to code serenity. Why C# 10 and .NET 6? This cutting-edge duo provides the perfect platform for realizing your clean architecture vision. C# 10, with its groundbreaking features like global usings and minimal interfaces, streamlines code and enhances developer productivity. Coupled with the robust features of .NET 6, like improved minimal APIs and enhanced performance, you have the tools necessary to build clean, efficient, and scalable applications. This book is crafted for you, whether you're a seasoned C# developer or embarking on your architectural journey: - New to Clean Architecture? No worries! We'll break down the core principles, guiding you through the layered structure and separation of concerns that define this design approach. - A C# Veteran? Explore the exciting possibilities of C# 10 features within the clean architecture framework. Discover how global usings simplify code organization, minimal interfaces streamline abstraction, and pattern matching enhances code readability and maintainability. - .NET Enthusiast? Leverage the power of .NET 6 to implement clean architecture best practices. Learn how to leverage minimal APIs for concise and efficient controllers, embrace configuration management for flexible configurations, and utilize asynchronous programming for efficient, responsive applications. C# 10 Clean Architecture with .NET 6 is your key to achieving software mastery. Stop wrestling with complex codebases. Start building applications that are a joy to maintain and a marvel of engineering excellence.
  • Добавил: literator
  • Дата: 22-05-2024, 07:49
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Название: DevOps for Data Science
Автор: Alex K Gold
Издательство: CRC Press
Серия: Data Science Series
Год: 2024
Страниц: 274
Язык: английский
Формат: pdf (true)
Размер: 16.2 MB

Data Scientists are experts at analyzing, modelling and visualizing data but, at one point or another, have all encountered difficulties in collaborating with or delivering their work to the people and systems that matter. Born out of the agile software movement, DevOps is a set of practices, principles and tools that help software engineers reliably deploy work to production. This book takes the lessons of DevOps and aplies them to creating and delivering production-grade data science projects in Python and R. This book’s first section explores how to build Data Science projects that deploy to production with no frills or fuss. Its second section covers the rudiments of administering a server, including Linux, application, and network administration before concluding with a demystification of the concerns of enterprise IT/Administration in its final section, making it possible for data scientists to communicate and collaborate with their organization’s security, networking, and administration teams.
  • Добавил: literator
  • Дата: 21-05-2024, 22:43
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Название: Python for Data Science
Автор: A. Lakshmi Muddana, Sandhya Vinayakam
Издательство: Springer/Ane Books Pvt. Ltd.
Год: 2024
Страниц: 398
Язык: английский
Формат: pdf (true), epub (true)
Размер: 18.7 MB

The book is designed to serve as a textbook for courses offered to undergraduate and graduate students enrolled in Data Science. This book aims to help the readers understand the basic and advanced concepts for developing simple programs and the fundamentals required for building Machine Learning models. The book covers basic concepts like data types, operators, and statements that enable the reader to solve simple problems. As functions are the core of any programming, a detailed illustration of defining & invoking functions and recursive functions is covered. Built-in data structures of Python, such as strings, lists, tuples, sets, and dictionary structures, are discussed in detail with examples and exercise problems. Files are an integrated part of programming when dealing with large data. File handling operations are illustrated with examples and a case study at the end of the chapter. Widely used Python packages for Data Science, such as Pandas, Data Visualization libraries, and regular expressions, are discussed with examples and case studies at the end of the chapters. The book also contains a chapter on SQLite3, a small relational database management system of Python, to understand how to create and manage databases. As AI applications are becoming popular for developing intelligent solutions to various problems, the book includes chapters on Machine Learning and Deep Learning. They cover the basic concepts, example applications, and case studies using popular frameworks such as SKLearn and Keras on public datasets.
  • Добавил: literator
  • Дата: 21-05-2024, 18:20
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Название: Python 3 Data Visualization Using Google Gemini
Автор: O. Campesato
Издательство: Mercury Learning and Information
Год: 2024
Страниц: 201
Язык: английский
Формат: True/Retail PDF EPUB
Размер: 16.4 MB

This book offers a comprehensive guide to leveraging Python-based data visualization techniques with the innovative capabilities of Google Gemini. Tailored for individuals proficient in Python seeking to enhancetheir visualization skills, it explores essential libraries like Pandas, Matplotlib, and Seaborn, along with insights into the innovative Gemini platform. With a focus on practicality and efficiency, it delivers a rapid yet thorough exploration of data visualization methodologies, supported by Gemini-generated code samples. Companion files with source code and figures are available for downloading. The first chapter contains a quick tour of basic Python 3, followed by a chapter that introduces you to NumPy. The third and fourth chapters introduce you to data visualization with Matplotlib and how to create graphics effects with Seaborn. The fifth chapter introduces you to Google Gemini, which also includes a discussion of GPT-4. The sixth and concluding chapter contains Gemini-generated Python code samples for performing various programming tasks. Current knowledge of Python 3.x is the most helpful skill. Knowledge of other programming languages (such as Java) can also be helpful because of the exposure to programming concepts and constructs.
  • Добавил: Chipa
  • Дата: 21-05-2024, 17:34
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Название: Основы TypeScript
Автор: Фримен А.
Издательство: Питер
Год: 2024
Формат: PDF
Страниц: 578
Размер: 57 Mb
Язык: Русский

«Основы TypeScript» — это полностью обновленное третье издание классического бестселлера Адама Фримена. В нем освещены все возможности TypeScript 5, включая новые, такие как декораторы. Сначала вы узнаете, зачем и почему был создан язык TypeScript, а затем почти сразу перейдете к практическому применению статических типов. Ничего лишнего! Каждая глава посвящена навыкам, необходимым для написания потрясающих веб-приложений.


  • Добавил: literator
  • Дата: 21-05-2024, 15:38
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Название: Ultimate Blazor WebAssembly for Web Development: Unlock the Full Potential of Blazor WebAssembly 8.0 and C# to Build High-Performance Web Applications with Ease
Автор: Chandradev Prasad Sah
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 265
Язык: английский
Формат: epub (true)
Размер: 84.8 MB

Empower Your Web Development with Blazor WASM 8.0. Ultimate Blazor WebAssembly for Web Developmentis your comprehensive guide to mastering the latest advancements in Blazor technology. This book will equip you with the knowledge and skills needed to leverage Blazor Web Assembly 8.0 and C# effectively and seamlessly to enhance the performance of your web apps. Whether you are a seasoned developer or just starting out, this book provides valuable insights and practical examples to help you build dynamic and responsive web applications with ease. You will harness the power of Blazor's component-based architecture to create rich user interfaces that engage and delight users. With expanded component libraries and optimized rendering, you will be able to deliver high-performance applications that meet the demands of modern web development. The book will help you discover how to streamline your development workflows, debug with confidence, and unleash the full potential of Blazor 8.0 in your projects. With a focus on practicality and real-world application scenarios, this book will empower you to elevate your skills and stay ahead in today's competitive market. This book is perfect for web developers and programmers aiming to advance their expertise in Blazor WebAssembly 8.0. While prior familiarity with C# and basic web development concepts is recommended, all readers can benefit from the comprehensive content provided. Whether you're a beginner looking to get started with Blazor or an experienced developer seeking to enhance your skills, this book provides you with the knowledge and tools you need to build robust and engaging web applications with Blazor WebAssembly.
  • Добавил: literator
  • Дата: 21-05-2024, 11:57
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Название: How to Teach AI: Weaving Strategies and Activities into Any Content Area
Автор: Rachelle Dene Poth
Издательство: International Society for Technology in Education
Год: 2024
Страниц: 193
Язык: английский
Формат: epub (true)
Размер: 21.5 MB

Get practical tools and strategies for teaching AI across the K-12 curriculum with this accessible guide. As AI continues to transform our world, educators have a responsibility to stay current with the changes, and ensure that students have the necessary knowledge and skills to succeed in the future. Written by an educator who is currently teaching on this topic, How to Teach AI shares practical strategies and tools based on what good practice looks like in the classroom right now. Readers will build confidence in integrating AI into their curriculum so they can effectively prepare students for their careers. In the chapters that follow, you will find accessible and practical tools to help you teach about and leverage the power of AI in your instructional practice. We will discuss the foundations of AI, such as algorithms, Machine Learning, Natural Language Processing, neural networks, and Generative AI (including the ubiquitous ChatGPT), and I’ll provide examples of how these technologies are being implemented in various industries, as well as their impact on education. Machine Learning (ML) is a component of Artificial Intelligence in which computer systems enhance their proficiency in tasks by analyzing data and patterns. Machine Learning relies on algorithms that have been trained on data, such as statistical models. These specialized algorithms then respond to this data, seek patterns in it, and learn from it so they can better analyze new, similar information. As an AI program’s knowledge base grows, it will continue to improve on past iterations (as it has been programmed to do), which, in turn, will expand the realm of possibilities for what it can do. Developed by OpenAI, ChatGPT is an upgrade from GPT-3 (Generative Pre-Trained Transformer 3), a trained language model that uses Deep Learning and can simulate human conversation.