Название: Mastering Grid Computing: Scheduling and Resource Management
Автор: Ankita, Sudip Kumar Sahana
Издательство: Apple Academic Press/CRC Press
Год: 2025
Страниц: 222
Язык: английский
Формат: pdf (true), epub
Размер: 40.5 MB

The book incorporates different scheduling algorithms, including traditional and non-traditional (bio-inspired) methods, to solve grid scheduling problems. Grid computing, a computing infrastructure that combines computer resources spread over different geographical locations to achieve a common goal, is seen as an efficient solution to solve complex real-world computer problems in a shorter time. Grid computing makes it easier to collaborate with other organizations, makes better use of existing hardware, and reduces transmission congestion, leading to more efficient electricity markets, improved power quality, and a reduced environmental impact. A large number of scheduling algorithms are available, but choosing an optimal algorithm is important. In this book, we have studied several scheduling algorithms such as First Come First Serve (FCFS), Shortest Job First (SJF), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and a few hybrid algorithms. The efficiency of these algorithms has been calculated using a standard workload, and a comparative analysis has been carried out to study the behavior of all these algorithms under different job counts.

Название: Go in Practice, Second Edition
Автор: Nathan Kozyra, Matt Butcher, Matt Farina
Издательство: Manning Publications
Год: 2025
Страниц: 376
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Practical techniques for building concurrent, cloud-native, and high performance Go applications—all accelerated with productivity-boosting AI tools. Go in Practice, Second Edition is full of tips, tricks, best practices, and expert insights into how to get things done with Go. It builds on your existing knowledge of the Go language, introducing specific strategies you can use to maximize your productivity in day-to-day dev work. Go in Practice, Second Edition has been extensively revised by author Nathan Kozyra to cover the latest version of Go, along with new dev techniques, including productivity-boosting AI tools. It follows an instantly-familiar cookbook-style Problem/Solution/Discussion format, building on what you already know about Go with advanced or little-known techniques for concurrency, logging and caching, microservices, testing, deployment, and more. For intermediate developers with previous experience in Go.

Название: Coding For Beginners - 21th Edition 2025
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2025
Язык: английский
Формат: pdf
Размер: 50.1 MB

"Программирование на Python для начинающих" - это первый и единственный выбор, если вы начинающий и хотите узнать все, что вам нужно, чтобы начать программировать. Это независимое руководство наполнено полезными рекомендациями и пошаговыми примерами с цветными иллюстрациями, написанными на простом и понятном английском языке. На страницах этого нового руководства вы узнаете все, что вам нужно знать о написании своих собственных потрясающих приложений. С этим неофициальным руководством по эксплуатации ни одна проблема не будет неразрешимой, ни один вопрос не останется без ответа, пока вы учитесь, изучаете и улучшаете свой пользовательский опыт.

Название: Инфраструктура как код. С примерами на Python и Terraform
Автор: Ванг Р.
Издательство: ДМК Пресс
Год: 2025
Формат: pdf
Страниц: 486
Размер: 20,50 Мб
Язык: русский

Инфраструктура как код (IaC) – это набор методов и процессов для построения и обслуживания инфраструктуры с использованием скриптов, файлов конфигурации или языков программирования. IaC значительно облегчает тестирование компонентов, реализацию функций и масштабирование системы. Но самое главное – поскольку IaC следует классическим методам разработки, для внесения изменений в масштабах системы достаточно нескольких коммитов кода! Прочитав эту книгу, вы научитесь создавать виртуальные серверы, сети, балансировщики нагрузки, брандмауэры и другие компоненты с помощью Python и Terraform, а также уверенно обновлять инфраструктуру, не прерывая работу системы.

Название: Mastering Rust: The Ultimate Starter Guide
Автор: Dan Miller
Издательство: Independently published
Год: 2025
Страниц: 468
Язык: английский
Формат: pdf, epub
Размер: 39.6 MB

Ready to dive into Rust but not sure where to start? Mastering Rust: The Ultimate Starter Guide by Dan Miller is your comprehensive companion on this exciting journey. Dan's unique approach to writing makes learning Rust a personable and rewarding experience. What sets this guide apart is its focus on practical application. You'll not only learn the "how" but also the "why," gaining insights into Rust's design decisions and how they benefit your development projects. With detailed explanations of generics, traits, and lifetimes, this book prepares you to write efficient, robust, and maintainable Rust code. Every great developer knows that learning never stops. Mastering Rust: The Ultimate Starter Guide is more than a technical manual; it's a journey into thinking differently about programming. Dan Miller challenges you to grow, not just in skill but in understanding the art of coding. Begin this transformative journey, and see how mastering Rust can redefine your approach to software development.

Название: Machine Learning in 30 Days: The Complete Beginner's Guide
Автор: Aniket Jain
Издательство: Independently published
Серия: Zero to Hero in 30 Days: The Accelerated Learning Series
Год: 2025
Страниц: 206
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Machine Learning in 30 Days: The Complete Beginner’s Guide is the ultimate step-by-step roadmap for anyone looking to master Machine Learning with Python from scratch. Designed to take you from a complete beginner to a confident ML practitioner in just 30 days, this book provides a structured, easy-to-follow approach to learning Machine Learning Python efficiently. Python is the most widely used programming language for Machine Learning, primarily due to its simplicity, versatility, and extensive ecosystem of ML libraries. Popular Python libraries such as NumPy, Pandas, and Matplotlib are indispensable for data manipulation and visualization. Meanwhile, frameworks like Scikit-learn, TensorFlow, and PyTorch facilitate building and training powerful ML models. Python's rich ecosystem makes it an ideal choice for beginners and experts alike, enabling seamless experimentation and rapid prototyping. By the end of 30 days, you’ll have the confidence and skills to build and deploy Machine Learning models, analyze data, and work on AI-driven projects. If you're searching for the best Python Machine Learning book to start your journey, this is it. Start your Machine Learning adventure today and become proficient in just 30 days!

Название: Industrial Vision Systems with Raspberry Pi: Build and Design Vision products Using Python and OpenCV
Автор: K. Mohaideen Abdul Kadhar, G. Anand
Издательство: Apress
Год: 2024
Страниц: 346
Язык: английский
Формат: pdf (true), epub (true)
Размер: 34.8 MB

Today’s industries are faced with a growing demand for vision systems due to their non-invasive characteristics in inspecting product quality. These systems identify surface defects and faults, and verify components’ orientation and their measurements, etc. This book explores the vision techniques needed to design and develop your own industrial vision system with the help of Raspberry Pi. You’ll start by reviewing basic concepts and applications of machine vision systems, followed by the preliminaries of Python, OpenCV, required libraries, and installing OpenCV for Python on Raspberry Pi. These are used when implementing image processing for the system applications. You’ll then look at interfacing techniques and some of the challenges industrial vision systems encounter, such as lighting and camera angles. Algorithms and image processing techniques are also discussed, along with Machine Learning and Deep Learning techniques. Later chapters explain the use of GUI apps and real-time applications of Industrial vision systems. Each chapter concludes with examples and demo implementations to facilitate your knowledge of the concepts. By the end of the book, you’ll be able to build and deploy computer vision applications with Python, OpenCV, and Raspberry Pi.

Название: The Machine Learning Handbook: A Practical Guide To Data-Driven Innovation
Автор: Vanita B
Издательство: Independently published
Год: December 19, 2024
Язык: английский
Формат: pdf
Размер: 25.5 MB

Unlock the transformative power of data with "The Machine Learning Handbook". This comprehensive guide offers a blend of theoretical knowledge and practical applications, empowering you to drive innovation through data-driven techniques. Whether you're a beginner just stepping into the world of Machine Learning or a seasoned professional seeking to enhance your skills, this handbook is your essential companion on the journey to mastering data-driven innovation. Engage in practical exercises and projects that illustrate the implementation of Machine Learning models. Delve into cutting-edge areas like Deep Learning, natural language processing, and reinforcement learning.

Название: Серия "Классика Computer Science" в 45 кн. +4CD
Автор: разные
Издательство: Питер
Год: 2002-2025
Формат: pdf, djvu, CD
Размер: 1.9 Гб
Язык: русский

Серия книг «Классика computer science», предназначенных для базовой подготовки специалистов в области компьютерных наук. Появление серии определилось необходимостью подготовки специалистов в области компьютерных технологий на уровне международных стандартов.
Это книги по основным принципам построения и функционирования компьютерных сетей, по архитектуре операционных систем, технологиям программирования и так далее — не привязанные к конкретным программным продуктам и тем более их версиям. Книги, выходящие в этой серии, выдержали многочисленные переиздания и входят в списки обязательной литературы для обучения в ведущих университетах мира.

Название: Environmental Monitoring Using Artificial Intelligence
Автор: A. Suresh, T. Devi, N. Deepa, Ali Kashif Bashir
Издательство: Wiley-Scrivener
Год: 2025
Страниц: 412
Язык: английский
Формат: pdf (true)
Размер: 30.9 MB

Environmental Monitoring Using Artificial Intelligence is a vital resource for anyone looking to leverage cutting-edge technologies in artificial intelligence and sensor systems to effectively address environmental challenges, offering innovative solutions and insights essential for creating a sustainable future. Environmental Monitoring Using Artificial Intelligence provides a comprehensive exploration of the cutting-edge technologies transforming environmental monitoring. This book bridges the gap between Artificial Intelligence (AI), natural language processing (NLP), and sensor-based systems, highlighting their potential to revolutionize the way we address pressing environmental challenges. Each chapter presents innovative case studies, real-world applications, and the latest research on how these technologies are being utilized to monitor and manage ecosystems, water resources, air quality, and urban sustainability.