Название: Занимательная информатика
Автор: Златопольский Д.М.
Издательство: Лаборатория знаний
Год: 2017 - 4-е изд.
Cтраниц: 427
Формат: pdf (ocr)
Размер: 24 мб
Язык: русский

Книга во многом аналогична популярным книгам «Занимательная физика» Я. И. Перельмана, «Математические чудеса и тайны» М. Гарднера, «В царстве смекалки» Е. И. Игнатьева, «Математическая смекалка» Б. А. Кордемского и др. Она содержит большое количество разнообразных занимательных логических задач и головоломок, интересных фактов и полезных программ, простейших компьютерных игр, фокусов и др. Материалы книги охватывают широкий круг вопросов информатики, вычислительной техники и информационных и коммуникационных технологий (системы счисления, кодирование информации, логика, основы программирования, Интернет и др.).

Название: Simple Object Oriented Design (MEAP v9)
Автор: Mauricio Aniche
Издательство: Manning Publications
Год: 2024
Страниц: 222
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Write object-oriented code that’s manageable, maintainable, and future-proof. Simple Object Oriented Design: A guide to creating clean, maintainable code is a comprehensive handbook of design practices, principles, and patterns that help simplify object-oriented software. The book is aimed at the working developer. There’s no perfection-chasing classroom theory that fails in practice—you’ll master “good enough” techniques that are effective in real-world environments. As your software grows and expands, every new feature and functionality potentially adds complexity to your codebase. The result? Bugs, crashes, and too much time spent detangling incomprehensible legacy code. Properly-applied design principles help you ensure your applications are easy-to-manage for the long term. For readers who know an object-oriented language. This book’s Java examples are easy to understand for any developer.

Название: Artificial Intelligence-Based System for Gaze-Based Communication
Автор: B.G.D.A Madhusanka, Sureswaran Ramadass, Premkumar Rajagopal
Издательство: CRC Press
Год: 2024
Страниц: 173
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This book focuses on the artificial neural network-based system for gaze-based communication. It covers the feasible and practical collaboration of human–computer interaction (HCI) in which a user can intuitively express tasks using gaze-based communication. It will target the vast applications of gaze-based communication using computer vision, image processing, and Artificial Intelligence. Artificial Intelligence-Based System for Gaze-Based Communication introduces a novel method to recognize the implicit intention of users by using nonverbal communication in combination with computer vision technologies. A novel HCI framework is developed to enable implicit and intuitive gaze-based intention communications. This framework allows the users to intuitively express their intention using natural gaze cues. The book also focuses on robot caregiving technology, which can understand the user’s intentions using minimal interactions with the user. The authors examine gaze-based tracking applications for the assisted living of elderly people. The book examines detailed applications of eye-gaze communication for real-life problems. It also examines the advantages that most people can handle gaze-based communications because it requires very little effort, and most of the elderly and impaired can retain visual capability. This book is ideally designed for students, researchers, academicians, and professionals interested in exploring and implementing gaze-based communication strategies and those working in the field of Computer Vision and image processing.

Название: Linkerd: Up and Running: A Guide to Operationalizing a Kubernetes-native Service Mesh
Автор: Jason Morgan and Flynn
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 150
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

With the massive adoption of microservices, operators and developers face far more complexity in their applications today. Service meshes can help you manage this problem by providing a unified control plane to secure, manage, and monitor your entire network. This practical guide shows you how the Linkerd service mesh enables cloud-native developers—including platform and site reliability engineers—to solve the thorny issue of running distributed applications in Kubernetes. Jason Morgan and Flynn draw on their years of experience at Buoyant—the creators of Linkerd—to demonstrate how this service mesh can help ensure that your applications are secure, observable, and reliable. You'll understand why Linkerd, the original service mesh, can still claim the lowest time to value of any mesh option available today. When the Linkerd2 rewrite started, the Rust programming language had been gaining attention for its memory safety, which enables developers to write code that avoids many of the memory management vulnerabilities inherent to C and C++, while still compiling to native code for high performance. This book is meant to help anyone who thinks it’s easier to get things done when creating, running, or debugging microservices applications, and is looking to Linkerd to help with that. You’ll need some basic knowledge of Kubernetes, the overall concept of running things in containers, and the Unix command line to get the most out of this book. Some familiarity with Prometheus, Helm, Jaeger, etc. will also be helpful, but isn’t really critical.

Название: Программировать в 1С за 11 шагов. 3-изд
Автор: Ильяс Низамутдинов
Издательство: Ижевск
Год: 2022
Формат: PDF
Страниц: 778
Размер: 22 Mb
Язык: Русский

Программисты других специальностей часто сталкиваются с задачами по разработке в 1С, поэтому, изучив язык программирования в 1С, специалист улучшит свою квалификацию и увеличит собственный доход.

Название: Deep Learning in Internet of Things for Next Generation Healthcare
Автор: Lavanya Sharma, Pradeep Kumar Garg
Издательство: CRC Press
Год: 2024
Страниц: 311
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

This book presents the latest developments in Deep Learning-enabled healthcare tools and technologies and offers practical ideas for using the IoT with Deep Learning (motion-based object data) to deal with human dynamics and challenges including critical application domains, technologies, medical imaging, drug discovery, insurance fraud detection and solutions to handle relevant challenges. This book covers real-time healthcare applications, novel solutions, current open challenges, and the future of Deep Learning for next-generation healthcare. It includes detailed analysis of the utilization of the IoT with Deep Learning and its underlying technologies in critical application areas of emergency departments such as drug discovery, medical imaging, fraud detection, and genomes. Convolutional neural networks (CNNs), in particular, are excellent at extracting hierarchical characteristics from images using Deep Learning models. These models learn to recognize edges, textures, forms, and even intricate patterns inside images in the context of human vision. CNNs may automatically identify pertinent features for IoT applications from unprocessed visual data without the need for explicit feature engineering. The classifcation and recognition of objects is one of the most important uses of Deep Learning and human vision in IoT. Deep Learning models can be taught to identify and categorize objects in frames of pictures or videos. Security (intruder detection), retail (product identifcation), healthcare (medical image analysis), and other felds all make use of these capabilities. Postgraduate students and researchers in the departments of Computer Science, working in the areas of the IoT, Deep Learning, Machine Learning, image processing, Big Data, cloud computing, and remote sensing will find this book useful.

Название: Building Micro-Frontends: Distributed Systems for the Frontend, 2nd Edition (Early Release)
Автор: Luca Mezzalira
Издательство: O’Reilly Media, Inc.
Год: 2024-04-15
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.1 MB

What's the answer to today's increasingly complex applications? Micro-frontends. Inspired by the microservices model, this approach lets you break interfaces into separate features managed by different teams of developers. In this updated second edition, software architects, tech leads, and software developers will learn how to design, build, and deploy independent micro-frontends that compose unique frontend systems. Author Luca Mezzalira, principal serverless specialist solutions architect at AWS, shows you how micro-frontends enable agility within an organization, decentralize decision-making, and optimize for fast flow. This gives your organization technical flexibility and allows you to hire and retain a broad spectrum of talent. Micro-frontends also support distributed or colocated teams more efficiently. Pick up this book and learn how to get started with this technological breakthrough right away. Nowadays microservices architecture is a well-known, established and popular pattern used by many organizations across the world. Microservices split a unique codebase into smaller parts, each of them with a subset of functionalities compared to a monolith. This business logic is embraced by developers because the problem solved by a microservice is simpler than looking at thousands of lines of code. Moreover a developer can maintain a clear picture of the code base and related functionality implemented, considering the cognitive load is by far less than working on a monolithic system.

Название: Data Storytelling with Generative AI: using Python and Altair (MEAP v5)
Автор: Angelica Lo Duca
Издательство: Manning Publications
Год: 2024
Страниц: 425
Язык: английский
Формат: pdf, epub
Размер: 46.5 MB

Great data presentations tell a story. Learn how to organize, visualize, and present data using Python, generative AI, and the cutting-edge Altair data analysis toolkit. Data Storytelling with Python Altair and Generative AI teaches you how to turn raw data into effective, insightful data stories. You’ll learn exactly what goes into an effective data story, then combine your Python data skills with the Altair library and AI tools to rapidly create amazing visualizations. Your bosses and decision-makers will love your new presentations—and you’ll love how quick Generative AI makes the whole process! Python is the second ingredient of this book. As a data journalism professor, I have experimented with many Python libraries for data visualization, such as Matplotlib, Plotly, and Seaborn. However, at the end of my experiments, I realized that the simplest library for data visualization is Altair. Unlike other libraries, Altair is declarative, thus enabling you only to focus on the output of your data visualization. Thus, this book will focus on Altair to build data visualization. Although you can find many materials on the web about Altair, they focus only on how to build raw charts. In this book, you’ll learn how to build data stories with Altair and not simply raw charts. Last but not least, you’ll learn how to use Generative AI tools for data storytelling. This book won’t focus on Generative AI concepts and theory. Instead, you will learn how to apply Generative AI tools, including GitHub Copilot, ChatGPT, and DALL-E, to data storytelling.

Название: Data-Centric Artificial Intelligence for Multidisciplinary Applications
Автор: Parikshit N. Mahalle, Namrata N. Wasatkar, Gitanjali R. Shinde
Издательство: CRC Press
Год: 2024
Страниц: 309
Язык: английский
Формат: pdf (true)
Размер: 19.4 MB

This book explores the need for a Data-Centric Artificial Intelligence (AI) approach and its application in the multidisciplinary domain, compared to a model‑centric approach. It examines the methodologies for data‑centric approaches, the use of data‑centric approaches in different domains, the need for edge AI and how it differs from cloud‑based AI. It discusses the new category of AI technology, "data‑centric AI" (DCAI), which focuses on comprehending, utilizing, and reaching conclusions from data. By adding Machine Learning and Big Data analytics tools, data‑centric AI modifies this by enabling it to learn from data rather than depending on algorithms. It can therefore make wiser choices and deliver more precise outcomes. Additionally, it has the potential to be significantly more scalable than conventional AI methods. Data-Centric Artificial Intelligence (AI) denotes an approach within AI and Machine Learning (ML) that places significant emphasis on the pivotal role of meticulously curated, high‑quality data in the development and implementation of AI models and systems. Under this paradigm, data assumes the bedrock upon which AI algorithms are constructed and honed, and its effective handling, preprocessing, and analysis stand as pivotal factors for achieving precise and dependable AI outcomes.

Название: AI-Driven Digital Twin and Industry 4.0: A Conceptual Framework with Applications
Автор: Sita Rani, Pankaj Bhambri, Sachin Kumar
Издательство: CRC Press
Год: 2024
Страниц: 339
Язык: английский
Формат: pdf (true)
Размер: 22.0 MB

AI-Driven Digital Twin and Industry 4.0: A Conceptual Framework with Applications introduces the role of Digital Twin in Smart Manufacturing and focuses on the Digital Twin framework throughout. It provides a summary of the various AI applications in the Industry 4.0 environment and emphasizes the role of advanced computational and communication technologies. The book offers demonstrative examples of AI-Driven Digital Twin in various application domains and includes AI techniques used to analyze the environmental impact of industrial operations along with examples. The book reviews the major challenges in the deployment of AI-Driven Digital Twin in the Industry 4.0 ecosystem and presents an understanding of how AI is used in the designing of Digital Twin for various applications. This literary work delves into the revolutionary convergence of Artificial Intelligence (AI), Digital Twins, and Industry 4.0, providing a detailed examination of the theoretical underpinnings and practical implementations within this swiftly advancing domain. Artificial Intelligence (AI), Machine Learning, Deep Learning, Internet of Things (IoT), Cloud Computing, Digital Twin, and the most recent connectivity services are the most prominent of the era’s cutting-edge technologies that are assisting users intelligently and predicting their behavior, as well as providing the connectivity and convenience of data to satisfy the majority of their needs. The target audience of this book encompasses a broad spectrum, ranging from scholars and learners to practitioners and experts in the fields of research, education, engineering, and industry. The book aims to provide comprehensive insights into the interplay between AI, digital twins, and the Fourth Industrial Revolution, also known as Industry 4.0.