Название: Web Performance Fundamentals: A Frontend Developer’s Guide to Profile and Optimize React Web Apps
Автор: Nadia Makarevich
Издательство: getwebperf.com
Год: 2025
Страниц: 386
Язык: английский
Формат: epub
Размер: 54.1 MB

Get the practical tools and techniques you need to make your React apps faster, smoother, and more efficient. The book is about the fundamentals of web performance that are particularly relevant for React developers. This is not a book about how to write React code. There are plenty of books for that already. It's almost the opposite - it's about everything that is not React code. Everything that surrounds it and contributes to what we know as Performance. In this book, you won't learn different state management techniques or how to split components. However, you will learn on a very deep level how to record and understand Performance Flame Graphs, different types of server and client rendering, how different data fetching strategies contribute to initial load performance, and so much more. In the next chapter, "Let's Talk About Performance", we'll look into why bother with performance in the first place, other than for personal entertainment. Plus, what the CrUX report is, why it's useful, and a few other resources to get you started with measuring performance. The primary target audience for this book is middle-to-senior React developers who want to deepen their knowledge and are interested in learning about web performance. This book assumes that you've written an app or two already and that I don't need to explain such concepts as "state", "props", "components", or "conditional rendering". If you're a seasoned frontend developer but completely new to React, you also might gain a lot.

Название: Python at Work: Automate Your Way to 5 PM
Автор: Adrian Westbrook
Издательство: Independently published
Год: 2025
Страниц: 1019
Язык: английский
Формат: pdf, epub (true)
Размер: 11.9 MB

What if you could finish your work by 5 PM every day? Stop drowning in repetitive tasks. "Python at Work" transforms exhausted office workers into automation wizards—no coding experience required. In the modern workplace, time is an invaluable commodity. Many professionals find themselves bogged down by repetitive, mundane tasks that consume a significant portion of their day. These tasks, while sometimes necessary, often detract from the more strategic, creative, and engaging aspects of a job. The core promise of automation, especially through the application of programming languages like Python, is to liberate you from this drudgery, thereby reclaiming your most precious resource: time. Imagine finishing your workday with tasks completed that would normally spill over into overtime or require extra effort on another day. A task that takes an hour manually might take Python script mere seconds to execute. If you automate a 30-minute daily task, you’re effectively giving yourself back 2.5 hours per week, or roughly ten hours per month. That’s more than a full workday every month dedicated to higher-value activities.

Название: Federated Intelligent System for Healthcare: A Practical Guide
Автор: S. Rakesh Kumar, N. Gayathri, Seifedine Kadry
Издательство: Wiley
Год: 2025
Страниц: 313
Язык: английский
Формат: pdf (true), epub
Размер: 32.1 MB

This practical guide gives valuable insights for integrating advanced technologies in healthcare, empowering researchers to effectively navigate and implement federated systems to enhance patient care. Federated Intelligent Systems for Healthcare: A Practical Guide explores the integration of Federated Learning (FL) and intelligent systems within the healthcare domain. This volume provides an in-depth understanding of how federated systems enhance healthcare practices, detailing their principles, technologies, challenges, and opportunities. Additionally, this book addresses secure and privacy-preserving sharing of medical data, applications of Artificial Intelligence (AI) and Machine Learning (ML) in healthcare, and ethical considerations surrounding the adoption of these advanced technologies. With a focus on practical implementation and real-world use cases, Federated Intelligent Systems for Healthcare: A Practical Guide equips healthcare professionals, researchers, and technology experts with the knowledge needed to navigate the complexities of federated intelligent systems in healthcare and harness their potential to transform patient care and medical advancements.

Название: Artificial Intelligence-driven Models for Environmental Management
Автор: Shrikaant Kulkarni
Издательство: Wiley
Год: 2025
Страниц: 406
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Step-by-step guidelines for the development of Artificial Neural Network-based environmental pollution models. Artificial Intelligence-Driven Models for Environmental Management delves into the application of AI across a plethora of areas in environmental management, including climate forecasting, natural resource optimization, waste management, and biodiversity conservation. This book shows how AI can help in monitoring, predicting, and mitigating environmental impacts with tremendous accuracy and speed by leveraging machine learning, deep learning, and other data-driven models. The methodologies explored in this volume reflect a synthesis of Computational Intelligence, Data Science, and ecological expertise, underscoring how AI-driven systems have been making strides in managing and preserving our planet’s natural resources. Artificial Intelligence-Driven Models for Environmental Management is a timely, forward-thinking resource for a diverse readership, including researchers, policymakers, environmental scientists, and AI practitioners.

Название: Protecting and Mitigating Against Cyber Threats: Deploying Artificial Intelligence and Machine Learning
Автор: Sachi Nandan Mohanty, Suneeta Satpathy, Ming Yang, D. Khasim Vali
Издательство: Wiley-Scrivener
Год: 2025
Страниц: 561
Язык: английский
Формат: pdf (true), epub
Размер: 100.0 MB

Protecting and Mitigating Against Cyber Threats delves into the dynamic junction of Artificial Intelligence (AI) and Machine Learning (ML) within the domain of security solicitations. Through an exploration of the revolutionary possibilities of AI and ML technologies, this book seeks to disentangle the intricacies of today's security concerns. There is a fundamental shift in the security soliciting landscape, driven by the extraordinary expansion of data and the constant evolution of cyber threat complexity. This shift calls for a novel strategy, and AI and ML show great promise for strengthening digital defenses. This volume offers a thorough examination, breaking down the concepts and real-world uses of this cutting-edge technology by integrating knowledge from cybersecurity, Computer Science, and related topics. For cybersecurity professionals, researchers, academics, industry professionals, technology enthusiasts, policymakers, and strategists interested in the dynamic intersection of Artificial Intelligence (AI), Machine Learning (ML), and cybersecurity.

Название: Coding with AI: Examples in Python (MEAP v4)
Автор: Jeremy Morgan
Издательство: Manning Publications
Год: 2025
Страниц: 470
Язык: английский
Формат: pdf, epub
Размер: 38.2 MB

Practical techniques to accelerate software development using Generative AI. Let’s get real. You’d like to hand off a lot of tedious software development tasks to an assistant—and now you can! AI-powered coding tools like Copilot can accelerate research, design, code creation, testing, troubleshooting, documentation, refactoring and more. Coding with AI shows you how. Written for working developers, this book fast-tracks you to AI-powered productivity with bite-size projects, tested prompts, and techniques for getting the most out of AI. Coding with AI takes you through several small Python projects with the help of AI tools, showing you exactly how to use AI to create and refine real software. This book skips the baby steps and goes straight to the techniques you’ll use on the job, every day. You’ll learn to sidestep AI inefficiencies like hallucination and identify the places where AI can save you the most time and effort. Unique tips, tricks, and prompt hacks ensure you’re getting the best out of AI. For professional software developers. Examples in Python.

Название: Coding For Beginners - 22th Edition 2025
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2025
Страниц: 94
Язык: английский
Формат: pdf
Размер: 50.8 MB

"Программирование 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: Continuous Optimization For Data Science
Автор: Moshe Haviv
Издательство: World Scientific Publishing
Год: 2025
Страниц: 318
Язык: английский
Формат: pdf (true)
Размер: 13.5 MB

The text is divided into three main parts: unconstrained optimization, constrained optimization, and linear programming. The first part addresses unconstrained optimization in single-variable and multivariable functions, introducing key algorithms such as steepest descent, Newton, and quasi-Newton methods. The second part focuses on constrained optimization, starting with linear equality constraints and extending to more general cases, including inequality constraints. It details optimality conditions, sensitivity analysis, and relevant algorithms for solving these problems. The third part covers linear programming, presenting the formulation of LP problems, the simplex algorithm, and sensitivity analysis. Throughout, the text provides numerous applications to Data Science, such as linear regression, maximum likelihood estimation, expectation-maximization algorithms, support vector machines, and linear neural networks.

Название: Innovative Design Thinking Approaches in Software Engineering
Автор: José Alfonso Aguilar-Calderón, Carolina Tripp-Barba
Издательство: IGI Global
Год: 2025
Страниц: 288
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Design thinking is a ground-breaking problem solving process which combines logic, intuition, and systematic reasoning to develop long-term solutions to common engineering challenges and to inspire innovation. Serving as an introduction to the concept as well as a reference point, the book is essential reading for all engineers. Following a design thinking approach itself to structure its contents, this book is a key introduction to the process, providing case studies to demonstrate the multiple practical uses of the method. Relevant to sectors such as software development, Mobile App Development, sustainability and Artificial Intelligence, the book has a wide range of applications. The inclusion of a tools section to focus in on popular apps and software aids the reader in practically using the design thinking method. It ends by looking forward to the future prospects of design thinking, and the innovations which it can inspire.

Название: Applied Neural Networks in the AI Era: From Theory to Real-World Impact
Автор: Sarah Benziane, Fatiha Guerroudji Meddah
Издательство: IGI Global
Год: 2025
Страниц: 400
Язык: английский
Формат: pdf (true), epub
Размер: 24.7 MB

In the era of Artificial Intelligence (AI), applied neural networks transition from theoretical constructs to powerful tools driving innovation across sectors. Neural networks can learn patterns, make predictions, and adapt to complex data. From powering image and speech recognition systems to enabling autonomous vehicles and enhancing medical diagnostics, their impact is continually expanding. Advances in computational power, Big Data, and algorithmic design accelerate this transformation, making neural networks critical to AI applications. As these models become integrated into everyday technologies, further research into their design, limitations, and ethical implications becomes pivotal. Applied Neural Networks in the AI Era: From Theory to Real-World Impact explores the integration of intelligent technologies into neural networks. It examines the application of neural networks in various sectors, including transportation, medicine, computing, etc. This book covers topics such as biology, cloud computing, and smart robotics, and is a useful resource for engineers, business owners, academicians, researchers, and computer scientists.