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Название: Complete Guide to Qwik: Harness Qwik Resumable Architecture for Lightning-Fast Startup Times
Автор: Giorgio Boa, Ari Lerner
Издательство: newline, Leanpub
Год: 2024-05-22
Страниц: 255
Язык: английский
Формат: pdf (true), epub + code
Размер: 51.4 MB

The Complete Guide to Qwik is a 350+ page, comprehensive book, with a detailed path designed for anyone to master this framework. Packed with practical examples and analyzing details that cover exactly how Qwik works, you will be able to create your own large-scale instant application with Qwik. The problem with modern frameworks is that as the complexity of the application increases the loading speed degrades. Therefore, having underperforming applications, the user experience is also unsatisfactory. The developers themselves will be slowed down by a framework that doesn't help them in their day-to-day work. New Mental Model: Qwik has a completely new design and mental model approach. This new paradigm allows you to create a successful application for your domain that you otherwise would not be able to have. Qwik is unique compared to other frameworks. This framework can send the browser a static page consisting only of HTML and CSS and 1KB of jаvascript. This almost magically makes the application interactive immediately upon startup. However, it’s worth delving a little deeper into this because, behind every magic trick, there’s a trick. With modern connections, a page containing HTML and CSS is undoubtedly efficient and speedy. It would be the ideal situation, but unfortunately, interactivity is needed, which requires jаvascript.

Название: Deep Learning at Scale: At the Intersection of Hardware, Software, and Data (Third Early Release)
Автор: Suneeta Mall
Издательство: O’Reilly Media, Inc.
Год: 2024-05-24
Страниц: 458
Язык: английский
Формат: epub
Размер: 15.8 MB

Bringing a deep-learning project into production at scale is quite challenging. To successfully scale your project, a foundational understanding of full stack Deep Learning, including the knowledge that lies at the intersection of hardware, software, data, and algorithms, is required. This book illustrates complex concepts of full stack Deep Learning and reinforces them through hands-on exercises to arm you with tools and techniques to scale your project. A scaling effort is only beneficial when it's effective and efficient. To that end, this guide explains the intricate concepts and techniques that will help you scale effectively and efficiently. This book aims to help you develop a deeper knowledge of the Deep Learning stack—specifically, how Deep Learning interfaces with hardware, software, and data. It will serve as a valuable resource when you want to scale your Deep Learning model, either by expanding the hardware resources or by adding larger volumes of data or increasing the capacity of the model itself. This book is written for Machine Learning practitioners from all walks of life: engineers, data engineers, MLOps, Deep Learning scientists, Machine Learning engineers, and others interested in learning about model development at scale. It assumes that the reader already has a fundamental knowledge of deep learning concepts such as optimizers, learning objectives and loss functions, and model assembly and compilation, as well as some experience with model development. Familiarity with Python and PyTorch is also essential for the practical sections of the book.

Название: Intelligent Algorithms: Theory and Practice
Автор: Han Huang, Zhifeng Hao
Издательство: Elsevier/China Machine Press
Год: 2024
Страниц: 253
Язык: английский
Формат: pdf (true), epub
Размер: 23.3 MB

The Theory and Practice of Intelligent Algorithms discusses the latest achievements of the computation time analysis theory and practical applications of intelligent algorithms. In five chapters, the book covers (1) New methods of intelligent algorithm computation time analysis; (2)Application of intelligent algorithms in computer vision; (3) Application of intelligent algorithms in logistics scheduling; (4) Application of intelligent algorithms in software testing; and (5) Application of intelligent algorithm in multi-objective optimization. Intelligent algorithms are the algorithmic forms of computational intelligence methods. These algorithms are the common technical methods used by Artificial Intelligence (AI) in intelligent perception, intelligent decision-making, and intelligent planning. At this stage, intelligent algorithms are usually manifested as evolutionary computation, swarm intelligence, Machine Learning, other algorithms, and their combinations. Existing literature on intelligent algorithms focuses on theories, methods, and simulation experiments, leaving practical applications underexplored, especially the application of cutting-edge research in Artificial Intelligence. This book aims to serve as a reference book with practical cases for practitioners of intelligent algorithms based on cutting-edge research results.

Название: Test-Driven Development with Python: Obey the Testing Goat: Using Django, Selenium, and jаvascript, 3rd Edition (Fourth Early Release)
Автор: Harry J.W. Percival
Издательство: O’Reilly Media, Inc.
Год: 2024-05-16
Страниц: 198
Язык: английский
Формат: epub
Размер: 10.1 MB

The third edition of this trusted guide demonstrates the practical advantages of test-driven development (TDD) with Python and describes how to develop a real web application. You'll learn how to write and run tests before building each part of your app and then develop the minimum amount of code required to pass those tests. In the process, author Harry Percival teaches software and web developers the basics of Django, Selenium, Git, jаvascript, and Mock libraries, along with current web development techniques. This book—updated for Python 3.11 and Django 4—clearly demonstrates how TDD encourages simple designs and inspires confidence. My main aim is to impart a methodology — a way of doing web development, which I think makes for better web apps and happier developers. There’s not much point in a book that just covers material you could find by Googling, so this book isn’t a guide to Python syntax, or a tutorial on web development per se. Instead, I hope to teach you how to use TDD to get more reliably to our shared, holy goal: clean code that works.

Название: Ultimate Microservices with RabbitMQ: Master Microservices Architecture and RabbitMQ Integration to Build Scalable, Resilient Systems, and to Drive Innovation in Software Development
Автор: Peter Morlion
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 232
Язык: английский
Формат: epub (true)
Размер: 76.1 MB

Learn the ins and outs of a RabbitMQ-enabled microservices system. Embark on a transformative journey into the world of microservices architecture with 'Ultimate Microservices with RabbitMQ'. This comprehensive resource equips you with the knowledge and tools needed to design, deploy, and manage scalable microservices architectures using RabbitMQ as a messaging backbone. From laying the groundwork with foundational concepts to implementing advanced techniques, this book covers everything you need to know to build resilient and high-performing microservices-based systems. It dives into the intricacies of RabbitMQ messaging to leverage its capabilities to facilitate communication and data exchange across distributed systems. You will discover best practices for designing scalable and fault-tolerant microservices architectures, and gain insights into effective integration strategies. The book will help you learn to combine microservices and RabbitMQ for designing, building and maintaining robust architectures that leverage the strengths of both paradigms. By the end of this book, you will be primed to navigate the complexities of modern software development with confidence, driving innovation and efficiency in professional endeavors. This book is tailored for software developers, architects, and engineering managers intrigued by microservices and messaging with RabbitMQ.

Название: Federated Learning: Principles, Paradigms, and Applications
Автор: Jayakrushna Sahoo, Mariya Ouaissa, Akarsh K. Nair
Издательство: Apple Academic Press, CRC Press
Год: 2025
Страниц: 353
Язык: английский
Формат: pdf (true)
Размер: 17.4 MB

This new book provides an in-depth understanding of Federated Learning, a new and increasingly popular learning paradigm that decouples data collection and model training via multi-party computation and model aggregation. The volume explores how Federated Learning (FL) integrates AI technologies, such as blockchain, Machine Learning, IoT, edge computing, and fog computing systems, allowing multiple collaborators to build a robust Machine Learning model using a large dataset. It highlights the capabilities and benefits of Federated Learning, addressing critical issues such as data privacy, data security, data access rights, and access to heterogeneous data. The volume first introduces the general concepts of Machine Learning and then summarizes the Federated Learning system setup and its associated terminologies. It also presents a basic classification of FL, the application of FL for various distributed computing scenarios, an integrated view of applications of software-defined networks, etc. The book also explores the role of Federated Learning in the Internet of Medical Things systems as well. The book provides a pragmatic analysis of strategies for developing a communication-efficient Federated Learning system. It also details the applicability of blockchain with Federated Learning on IoT-based systems. It provides an in-depth study of FL-based intrusion detection systems, discussing their taxonomy and functioning and showcasing their superiority over existing systems. The book is unique in that it evaluates the privacy and security aspects in FL. The volume presents a comprehensive analysis of some of the common challenges, proven threats, and attack strategies affecting FL systems. Special coverage on protected shot-based Federated Learning for facial expression recognition is also included.

Название: Computer Vision: Challenges, Trends, and Opportunities
Автор: Atiqur Rahman Ahad, Upal Mahbub, Matthew Turk, Richard Hartley
Издательство: CRC Press
Год: 2025
Страниц: 359
Язык: английский
Формат: pdf (true)
Размер: 51.7 MB

Computer vision has made enormous progress in recent years, and its applications are multifaceted and growing quickly, while many challenges still remain. This book brings together a range of leading researchers to examine a wide variety of research directions, challenges, and prospects for computer vision and its applications. This book highlights various core challenges as well as solutions by leading researchers in the field. It covers such important topics as data-driven AI, biometrics, digital forensics, healthcare, robotics, entertainment and XR, autonomous driving, sports analytics, and neuromorphic computing, covering both academic and industry R&D perspectives. Providing a mix of breadth and depth, this book will have an impact across the fields of computer vision, imaging, and AI. Computer Vision was a curiosity research field. Today, after five decades of research and development that include periods with both good and struggling progress, Computer Vision has found its applications everywhere from everyday cell phones to securities, entertainment, robotics, industrial, medical, and military domains. Advanced imaging sensors produce high-resolution images and videos at a high frame rate, even in 3D. High-performance low-power computers execute computation-hungry vision algorithms even in handheld devices. And, of course, Deep Neural Net Learning played the most critical role to turn Computer Vision into an amazingly impactful technology.

Название: A Comprehensive Guide to Coding and Programming in Stata
Автор: Rafael Gafoor
Издательство: CRC Press
Год: 2024
Страниц: 173
Язык: английский
Формат: pdf (true)
Размер: 21.0 MB

This book is an introductory guide to programming and coding in Stata. Commonly encountered code in the field of medical statistics as well as the analyses of observational data are presented. For those who are involved in the analyses of observational studies, the need to sometimes assemble large datasets will necessitate a detailed understanding of loops and macros. This book covers these materials early on and then describes other commonly required coding commands. For those who program in a controlled environment (.e.g. medical statisticians who perform analyses for regulatory bodies), the production of log files, a suggested folder structure and analysis pathway are covered. This book also includes a wide range of tabulation commands and other methods of producing tables of descriptive statistics. The text also then provides a clear explanation of how to perform some inferential analyses (including how to extract and format the coefficients for use in subsequent reports). The focus on coding allows beginners to grasp the basics of coding and programming, as well as allowing established researchers to hone their skills and become more advanced programmers.

Название: API Design for C++, 2nd Edition
Автор: Martin Reddy
Издательство: Morgan Kaufmann/Elsevier
Год: 2024
Страниц: 650
Язык: английский
Формат: pdf (true)
Размер: 51.3 MB

API Design for C++, Second Edition provides a comprehensive discussion of Application Programming Interface (API) development, from initial design through implementation, testing, documentation, release, versioning, maintenance, and deprecation. It is the only book that teaches the strategies of C++ API development, including interface design, versioning, scripting, and plug-in extensibility. Drawing from the author's experience on large scale, collaborative software projects, the text offers practical techniques of API design that produce robust code for the long-term. It presents patterns and practices that provide real value to individual developers as well as organizations. The Second Edition includes all new material fully updated for the latest versions of C++, including a new chapter on concurrency and multithreading, as well as a new chapter discussing how Objective C++ and C++ code can co-exist and how a C++ API can be accessed from Swift programs. Writing large applications in C++ is a complex and tricky business. However, designing reusable C++ interfaces that are robust, stable, easy to use, and durable is even more difficult. The best way to succeed in this endeavor is to adhere to the tenets of good API design. An API presents a logical interface to a software component and hides the internal details required to implement that component. It offers a high-level abstraction for a module and promotes code reuse by allowing multiple applications to share the same functionality. Modern software development has become highly dependent upon APIs, from low-level application frameworks to data format APIs and graphical user interface (GUI) frameworks.

Название: The Art of Immutable Architecture: Theory and Practice of Data Management in Distributed Systems, 2nd Edition
Автор: Michael L. Perry
Издательство: Apress
Год: 2024
Страниц: 497
Язык: английский
Формат: pdf
Размер: 14.1 MB

This book teaches you how to evaluate a distributed system from the perspective of immutable objects. You will understand the problems in existing designs, know how to make small modifications to correct those problems, and learn to apply the principles of immutable architecture to your tools. Most software components focus on the state of objects. They store the current state of a row in a relational database. They track changes to state over time, making several basic assumptions: there is a single latest version of each object, the state of an object changes sequentially, and a system of record exists. This is a challenge when it comes to building distributed systems. Whether dealing with autonomous microservices or disconnected mobile apps, many of the problems we try to solve come down to synchronizing an ever-changing state between isolated components. Distributed systems would be a lot easier to build if objects could not change. For software architects and senior developers. It contains examples in SQL and languages such as jаvascript and C#. Past experience with distributed computing, data modeling, or business analysis is helpful.