Название: The Art of Computer Programming, Volume 4, Fascicle 7, Constraint Satisfaction
Автор: Donald E. Knuth
Издательство: Pearson Education, Inc.
Год: 2025
Страниц: 462
Язык: английский
Формат: pdf, epub
Размер: 24.4 MB

Volume 4, Fascicle 7, which is brimming with lively examples, forms the first third of what will eventually become hardcover Volume 4C. It introduces and explores an important general framework for modeling and solving combinatorial problems, called the Constraint Satisfaction Problem (CSP). The concluding sections of Volume 4B contain expositions of two analogous frameworks, namely XCC (“exact covering with colors”) and SAT (“Boolean satisfiability”); the XCC solvers and SAT solvers are now joined by CSP solvers, completing a powerful trio of techniques. Each member of the trio has its own strengths, while separately helping to understand the other two. This fascicle illuminates how the CSP framework is tied to dozens of other parts of Computer Science: Scene analysis (computer vision); efficient algorithms that embed one graph in another; fascinating instances of “graceful graphs”; new ways to look ahead when backtracking; new heuristics to guide a search that backtracks through a massive space of possibilities; situations when backtracking isn’t necessary.

Название: Mastering Asynchronous Programming in Python: Unlock the Secrets of Expert-Level Skills
Автор: Larry Jones
Издательство: Walzone Press
Год: 2025
Страниц: 470
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

"Mastering Asynchronous Programming in Python: Unlock the Secrets of Expert-Level Skills" is an essential resource for seasoned programmers looking to enhance their software development capabilities. Delve into the intricacies of asynchronous programming, a paradigm that enables non-blocking task execution and opens doors to creating high-performance, scalable applications. From foundational principles to advanced strategies, this book provides a comprehensive guide to harnessing Python's robust asynchronous features. Each chapter navigates through critical themes such as event loops, coroutines, and the seamless integration of asyncio with third-party libraries. The book goes beyond basics, exploring sophisticated design patterns and debugging practices tailored for asynchronous environments. Readers gain actionable insights into optimizing code for concurrent execution, ultimately leading to responsive and efficient applications. The text strikes a balance between theoretical concepts and practical implementations, ensuring a deep and thorough understanding.

Название: Artificial Intelligence in e-Health Framework, Volume 1: AI, Classification, Wearable Devices, and Computer-Aided Diagnosis
Автор: Sudip Paul, Jasjit S. Suri
Издательство: Academic Press/Elsevier
Год: 2025
Страниц: 344
Язык: английский
Формат: epub (true)
Размер: 19.8 MB

Artificial Intelligence in e-health Framework, Volume One: AI, Classification, Wearable Devices, and Computer-Aided Diagnosis presents a variety of AI techniques and applications for solving issues in the healthcare industry. As Artificial Intelligence is increasingly incorporated into medical systems and methods, it is critical to understand the formulations and basics of Machine Learning and Deep Learning as well as how to implement these advances into practice. This book specifically explores Artificial Intelligence developments in disease diagnosis, health monitoring, medical image recognition, and diagnostics, as well as e-health records management. Deep Learning, an AI approach, trains computers to emulate human brain processes. Deep Learning models yield precise predictions by discerning intricate images, text, and sound patterns. This is a valuable resource for health professionals, scientists, researchers, students, and all who wish to broaden their knowledge in this advancing technology.

Название: Mastering Object-Oriented Programming with Python: Unlock the Secrets of Expert-Level Skills
Автор: Larry Jones
Издательство: Walzone Press
Год: 2025
Страниц: 559
Язык: английский
Формат: epub (true)
Размер: 11.7 MB

"Mastering Object-Oriented Programming with Python: Unlock the Secrets of Expert-Level Skills" is an invaluable resource for experienced Python developers looking to elevate their software craftsmanship. This book delves deeply into advanced object-oriented principles, offering a comprehensive guide to mastering the intricacies of Python's object model. With its thorough coverage on inheritance, polymorphism, and encapsulation, readers will gain insights into designing flexible, scalable systems that embody the core strengths of the object-oriented paradigm. The text meticulously explores the integration of Python's dynamic capabilities with proven design patterns, as well as novel techniques such as metaprogramming and functional integration. Readers will benefit from clear, practical examples that illuminate complex concepts, enabling them to adopt sophisticated strategies like concurrency, abstract base classes, and cutting-edge database interactions. By synthesizing functional and object-oriented principles, this book ensures developers can construct elegant, efficient, and robust solutions across diverse domains.

Название: Quantum Computing: The Future of Information Processing
Автор: Shrikant Tiwari, Amit Kumar Tyagi, S.V. Nagaraj
Издательство: CRC Press
Год: 2025
Страниц: 348
Язык: английский
Формат: pdf (true), epub
Размер: 18.0 MB

Quantum Computing and algorithms are set to revolutionize information processing. Covering such topics, Quantum Computing: The Future of Information Processing explains its principles, practical applications, and future implications in a clear and accessible manner. The book strives to simplify the essential concepts and practical applications of Quantum Computing. Its aim is to help students and researchers to apply Quantum Computing to advance AI and Machine Learning, cybersecurity, and blockchain. This book will discuss quantum computing and its related terms in detail. This book will take future readers/researchers on a journey from the fundamental principles of quantum mechanics to the practical applications reshaping industries like blockchain, cybersecurity, Machine Learning, and finance as well as real-world case studies to provide a unique addition on the technology’s impact today.

Название: Python Power: Streamlining Routine Tasks with Automation
Автор: ByteNovus
Издательство: ByteNovus
Год: Sep 24, 2024
Страниц: 104
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

"Python Power: Streamlining Routine Tasks with Automation" is a comprehensive guide designed to help professionals and enthusiasts harness the full potential of Python for automating everyday tasks. Whether you are looking to automate data processing, manage files and directories, or streamline web scraping, this book covers essential tools and techniques for improving efficiency. It includes detailed examples on automating tasks like file system management, data cleaning, email notifications, and interacting with APIs. Perfect for intermediate to advanced users, Python Power provides practical solutions for eliminating repetitive tasks, allowing you to focus on more creative and impactful work. With its focus on real-world applications, this guide is an invaluable resource for boosting productivity through Python scripting.

Название: Modern Statistics: Intuition, Math, Python, R
Автор: Mike X Cohen
Издательство: SincXpress Education SRL
Год: 22 December 2023
Страниц: 799
Язык: английский
Формат: pdf (true)
Размер: 59.3 MB

"Modern Statistics: Intuition, Math, Python, R" is an authoritative and comprehensive textbook designed to guide university students and professionals through the intricate world of statistics, Data Science, and Machine Learning. This extensive 700-page volume, with its impressive array of 390 figures and over 35,000 lines of code (all code and a sample chapter are freely available on github), offers a unique blend of theoretical and practical knowledge, making it an indispensable resource for those seeking to deepen their understanding of statistical methodologies and their applications in the modern digital era. The book places a strong emphasis on the practical implementation of statistical techniques, with extensive Python and R code examples that bring to life the concepts of correlations, confidence intervals, ANOVA, and regression analysis. The chapters on permutation tests, power and sample size calculations, biases, and data communication underscore the importance of robust statistical practice and effective data storytelling in research and professional settings. Targeted at those who appreciate the rigor of statistical analysis and the nuances of data interpretation, this book is a testament to the ever-evolving field of statistics and its pivotal role in the age of Data Science and Machine Learning.

Название: The C++ Template Handbook: Advanced Techniques for Modern C++ Developers
Автор: Robert Johnson
Издательство: HiTeX Press
Год: 2025
Страниц: 527
Язык: английский
Формат: epub (true)
Размер: 11.4 MB

Unlock the power of modern C++ with "The C++ Template Handbook: Advanced Techniques for Modern C++ Developers." This comprehensive guide serves as an essential resource for developers looking to deepen their understanding of templates, a pillar of C++ programming. With meticulous coverage of both fundamental concepts and cutting-edge techniques, this handbook equips readers to leverage templates for designing efficient, flexible, and reusable code. Dive into the intricacies of function and class templates, explore the nuanced art of template meta-programming, and discover the latest in C++ concepts and constraints. Addressing real-world applications, the book offers insight into advanced template techniques and idioms that enhance performance and maintainability. Carefully structured chapters, complete with practical examples, make even complex topics accessible to both novice and experienced developers. Written by an expert in the field, this book not only demystifies the template landscape but also presents best practices for writing and optimizing template code.

Название: Pro Spring Boot 2: An Authoritative Guide to Building Microservices, Web and Enterprise Applications, and Best Practices, 2nd Edition
Автор: Felipe Gutierrez
Издательство: Apress
Год: 2019
Страниц: 511
Формат: PDF, EPUB
Размер: 22 Mb
Язык: English

Quickly and productively develop complex Spring applications and microservices out of the box, with minimal concern over things like configurations. This revised book will show you how to fully leverage the Spring Boot 2 technology and how to apply it to create enterprise ready applications that just work. It will also cover what's been added to the new Spring Boot 2 release, including Spring Framework 5 features like WebFlux, Security, Actuator and the new way to expose Metrics through Micrometer framework, and more.

Название: Generative Artificial Intelligence: Concepts and Applications
Автор: R. Nidhya, D. Pavithra, Manish Kumar, A. Dinesh Kumar, S. Balamurugan
Издательство: Wiley-Scrivener
Год: 2025
Страниц: 292
Язык: английский
Формат: pdf (true)
Размер: 62.5 MB

This book is a comprehensive overview of AI fundamentals and applications to drive creativity, innovation, and industry transformation. Generative AI stands at the forefront of Artificial Intelligence innovation, redefining the capabilities of machines to create, imagine, and innovate. GAI explores the domain of creative production with new and original content across various forms, including images, text, music, and more. In essence, Generative AI stands as evidence of the boundless potential of Artificial Intelligence, transforming industries, sparking creativity, and challenging conventional paradigms. It represents not just a technological advancement but a catalyst for reimagining how machines and humans collaborate, innovate, and shape the future. Generative AI is redefining the capabilities of machines to create and innovate. Unlike traditional AI, which analyzes existing data, Generative AI produces new and original content across images, text, music, and more by leveraging neural networks and deep learning techniques to learn patterns and relationships from vast datasets.