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Название: Pro Spring Boot 3 with Kotlin: In-Depth Guide to Best Practices for Cloud-Native and Microservices Development, 3rd Edition
Автор: Peter Späth, Felipe Gutierrez
Издательство: Apress
Год: 2025
Страниц: 922
Язык: английский
Формат: pdf (true), epub
Размер: 31.7 MB

Quickly and productively build complex Kotlin-based Spring applications and microservices out of the box, with minimal concern over things such as configurations. This revised edition will show you how to fully leverage the Spring Boot 3 micro-framework and apply it to create enterprise-ready Kotlin-based cloud-native applications, microservices, and web applications that just work. The book covers what has been added to the new Spring Boot 3 release, including improved support for the Kotlin programming language, changes to Stream Editor UI, Maven Preemptive Authentication, building Docker images using cloud-native build packs, building layered jars for optimized Docker images, E2E traceability for configuration properties, many dependency upgrades, support for Spring Data, and much more.

Название: Разработка мобильных приложений на C# для iOS и Android
Автор: Черников В.
Издательство: ДМK
Год: 2020
Cтраниц: 188
Формат: pdf (ocr)
Размер: 26 мб
Язык: русский

Данная книга в сжатой форме описывает целостный процесс создания приложений для смартфонов и планшетов. Рассматриваются особенности мобильных операционных систем и устройств, выбор инструментов для разработки, подготовка рабочей документации в духе Agile, проектирование структуры и архитектуры решения, создание автоматизированного конвейера Continues Integration/Continues Delivery, а также мониторинг работоспособности конечного продукта на устройствах реальных пользователей. Все примеры приведены на языке C#.

Название: Data Structures and Algorithms in jаvascript (Final Release)
Автор: Federico Kereki
Издательство: No Starch Press
Год: 2025
Страниц: 595
Язык: английский
Формат: True/Retail PDF, True/Retail ePUB
Размер: 31.1 MB

Think you know jаvascript? Think again. This isn’t your typical coding book—it’s a deep dive into the powerful world of data structures and algorithms that will transform the way you approach problem solving in jаvascript. Whether you’re a frontend developer tackling complex applications, a backend engineer building scalable systems, or a programmer preparing for technical interviews, this book will revolutionize the way you code. This book deals with two basic concepts in Computer Science: data structures and algorithms. It follows a structure similar to university curricula and adds examples taken from coding challenges and interview questions, using them to discuss the relative advantages and disadvantages of specific algorithms and data structures. All examples are fully coded in jаvascript, with particular attention given to modern language features that simplify coding.

Название: Information Access in the Era of Generative AI
Автор: Ryen W. White, Chirag Shah
Издательство: Springer
Год: 2025
Страниц: 250
Язык: английский
Формат: pdf (true), epub
Размер: 17.3 MB

Generative Artificial Intelligence (GenAI) has emerged as a groundbreaking technology that promises to revolutionize many industries as well as people’s personal and professional lives. This book discusses GenAI and its role in information access - often referred to as Generative Information Retrieval (GenIR) - or more broadly, information interaction. The role of GenAI in information access is complex and dynamic, with many dimensions. To address this, following a brief introduction to GenAI and GenIR, the remainder of the book provides eight chapters, each targeting a different dimension or sub-topic. These cover foundations of GenIR, interactions with GenIR systems, adapting them to users, tasks, and scenarios, improving them based on user feedback, GenIR evaluation, the sociotechnical implications of GenAI for information access, recommendations within GenIR, and the future of information access with GenIR. The book is targeted at graduate students and researchers interested in issues of information retrieval, access, and interactions, as well as applications of GenAI in various informational contexts. While some of the parts assume prior background in IR or AI, most others do not, making this book suitable for adoption in various classes as a primary source or as a supplementary material.

Название: A First Introduction to Quantum Computing and Information 2nd Edition
Автор: Bernard Zygelman
Издательство: Springer
Серия: Undergraduate Topics in Computer Science
Год: 2025
Страниц: 287
Язык: английский
Формат: pdf (true), epub
Размер: 30.3 MB

This textbook addresses and introduces new developments in the field of quantum information and computing (QIC) for a primary audience of undergraduate students. Developments over the past few decades have spurred the need for QIC courseware at major research institutions. To address this, the present 2nd edition of a highly accessible textbook/reference broadens the exposure of QIC science for the undergraduate market. The subject matter is introduced in such a way so that it is accessible to students with only a first-year calculus background. Greater accessibility allows a broader range of academic offerings. This unique introductory textbook can serve courses offered in university physics, engineering, math, and definitely Computer Science departments. Use of Mathematica software allows a fast learning curve for students who have limited experience with scientific programming.

Название: Mastering Computer Vision with PyTorch 2.0: Discover, Design, and Build Cutting-Edge High Performance Computer Vision Solutions with PyTorch 2.0 and Deep Learning Techniques
Автор: M. Arshad Siddiqui
Издательство: 2025 Orange Education Pvt Ltd, AVA
Год: 2025
Страниц: 255
Язык: английский
Формат: epub (true)
Размер: 22.7 MB

Unleashing the Power of Computer Vision with PyTorch 2.0. In an era where Computer Vision has rapidly transformed industries like healthcare and autonomous systems, PyTorch 2.0 has become the leading framework for high-performance AI solutions.[Mastering Computer Vision with PyTorch 2.0] bridges the gap between theory and application, guiding readers through PyTorch essentials while equipping them to solve real-world challenges. Designed for both beginners and intermediate learners in computer vision and deep learning, this book aims to provide practical and in-depth insights into PyTorch’s powerful capabilities. The journey starts with a thorough examination of PyTorch’s past, helping readers appreciate how PyTorch’s unique architecture and foundational principles have distinguished it in the landscape of Machine Learning frameworks. This historical context will lay a solid foundation for understanding the unique benefits of PyTorch, making it a tool of choice for many researchers and practitioners in the field.

Название: DevOps для современного предприятия
Автор: Херинг М.
Издательство: ДMK
Год: 2020
Cтраниц: 232
Формат: pdf (ocr)
Размер: 34 мб
Язык: русский

DevOps – методика автоматизации рабочих процессов, существенно облегчающая задачи организации и способствующая действенным преобразованиям. Мирко Херинг, менеджер со стажем, рассказывает о том, как избежать распространенных ошибок на пути внедрения инноваций и добиться успеха в долгосрочной перспективе. В первой части книги обсуждается экосистема предприятия, формирующая благоприятные условия для преобразований.

Название: Malware: Handbook of Prevention and Detection
Автор: Dimitris Gritzalis, Kim-Kwang Raymond Choo, Constantinos Patsakis
Издательство: Springer
Серия: Advances in Information Security
Год: 2025
Страниц: 416
Язык: английский
Формат: pdf (true)
Размер: 26.3 MB

This book provides a holistic overview of current state of the art and practice in malware research as well as the challenges of malware research from multiple angles. It also provides step-by-step guides in various practical problems, such as unpacking real-world malware and dissecting it to collect and perform a forensic analysis. Similarly, it includes a guide on how to apply state-of-the-art Machine Learning methods to classify malware. Acknowledging that the latter is a serious trend in malware, one part of the book is devoted to providing the reader with the state-of-the-art in Machine Learning methods in malware classification, highlighting the different approaches that are used for, e.g., mobile malware samples and introducing the reader to the challenges that are faced when shifting from a lab to production environment.

Название: Advanced Java Data Structures: Techniques and Applications for Efficient Programming
Автор: Adam Jones
Издательство: NOB TREX L.L.C.
Год выхода: 2024
Страниц: 380
Формат: True ePUB
Размер: 10,1 MB
Язык: английский

Unlock the full potential of Java programming by mastering data structures with our comprehensive guide. "Advanced Java Data Structures: Techniques and Applications for Efficient Programming" is an essential resource tailored for programmers who aspire to deepen their expertise in data organization and manipulation to develop sophisticated and efficient software solutions. This book meticulously navigates from fundamental concepts to advanced topics, covering arrays, strings, linked lists, stacks, queues, trees, graphs, hash tables, sorting and searching algorithms, and beyond. It blends theoretical explanations with practical implementations, offering detailed examples and exercises that bridge the gap between theory and real-world application.

Название: Причинно-следственный анализ для смелых и честных
Автор: Матеус Факур, Артем Груздев
Издательство: ДМК Пресс
Год: 2025
Страниц: 596
Язык: русский
Формат: pdf
Размер: 30.8 MB

Причинно-следственный анализ – это метод статистического анализа данных, помогающий выявить, как одно событие влияет на другое. Прочитав данную книгу, читатели научатся находить причинно-следственные связи в данных, применять правильные методы анализа и оценивать достоверность полученных выводов. Мы можем реализовать массу всяких красивых вещей с помощью машинного обучения. Единственное требование состоит в том, чтобы мы формулировали наши задачи как задачи прогнозирования. Однако машинное обучение (ML) не является панацеей. Оно может творить чудеса в условиях жестких ограничений и все же может с треском провалиться, если данные немного отклоняются от того, к чему привыкла модель. Машинное обучение, как известно, плохо справляется с такой проблемой, как обратная причинно-следственная связь. Издание предназначено специалистам по анализу данных, а также будет полезно бизнес-аналитикам и инженерам. В книге используется только свободное программное обеспечение, основанное на языке Python.