Название: Mastering Python for Data Science: A Comprehensive Guide for Students and Professionals
Автор: Ahmed Khorshid
Издательство: Ahmed Khorshid
Год: 2025
Формат: pdf, epub
Страниц: 417
Размер: 20.8 Мб
Язык: английский

Unlock the world of data science with "Mastering Python for Data Science"—an all-in-one guide tailored for both students and professionals eager to excel in the field. This book is a complete resource that takes you from the foundational concepts of Python programming to the cutting-edge techniques used in data science today.

Название: Python Algorithms Step by Step: A Practical Guide with Examples
Автор: William E. Clark
Издательство: NOBTREX
Год: 2024
Формат: pdf, epub, fb2
Страниц: 189
Размер: 10,89 Мб
Язык: английский

This book offers a comprehensive introduction to both Python programming and algorithm analysis, presenting the material in a clear and structured manner. It systematically covers essential topics, starting with the basics of Python, such as setting up the programming environment and understanding core syntax and data types, before progressing to more advanced areas like algorithm design and data structures. The content is organized into well-defined chapters that build upon one another to ensure a solid foundational understanding.

Название: Java. Состояние языка и его перспективы
Автор: Федор Урванов
Издательство: БХВ-Петербург
Год: 2023
Страниц: 369
Язык: русский
Формат: pdf, epub
Размер: 10.3 MB

Книга о современном состоянии языка Java, векторе его развития, а также о грамотном программировании в духе паттернов GoF. Книга дает базовое представление о фреймворке Spring, контейнерах Docker, принципах ООП, затрагивая, в частности, переход к облачным решениям, обращение с IDE. Также освещены темы из enterprise-разработки: файловый ввод/вывод NIO2, многопоточность, локализация, интеграция и оптимизация производительности. В книге отражено состояние языка по состоянию на версию Java 17 с разбором некоторых аспектов Java 18. Будет интересна специалистам, возвращающимся к работе с Java после перерыва, бэкенд-разработчикам, читателям, готовящимся к сертификационным экзаменам.

Название: Advancing Recommender Systems with Graph Convolutional Networks
Автор: Fan Liu, Liqiang Nie
Издательство: Springer
Год: 2025
Страниц: 166
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

This book systematically examines scalability and effectiveness challenges related to the application of graph convolutional networks (GCNs) in recommender systems. By effectively modeling graph structures, GCNs excel in capturing high-order relationships between users and items, enabling the creation of enriched and expressive representations. The book focuses on two overarching problem categories: the first area deals with problems specific to GCN-based recommendation models, including over-smoothing, noisy neighboring nodes, and interpretability limitations. The second one encompasses broader challenges in recommendation systems that GCN-based methods are particularly well-suited to address as the attribute missing problem or feature misalignment. Through rigorous exploration of these challenges, this book presents innovative GCN-based solutions to push the boundaries of recommender system design. To this end, techniques such as interest-aware message-passing strategy, cluster-based collaborative filtering, semantic aspects extraction, attribute-aware attention mechanisms, and light graph transformer are presented.

Название: Python Regular Expressions Explained: A Practical Guide with Examples
Автор: William E. Clark
Издательство: Nobtrex L.L.C.
Год: 2025
Страниц: 702
Язык: английский
Формат: pdf, epub (true)
Размер: 11.2 MB

This book provides a thorough analysis of regular expressions in Python, presenting a comprehensive guide to mastering text processing techniques. It covers the evolution, syntax, and practical implementation of regex patterns, ensuring that readers gain a deep understanding of both foundational and advanced concepts. The detailed explanations, structured examples, and targeted exercises are designed to build proficiency for programmers at all levels. The content is meticulously organized into chapters that examine every aspect of regular expression usage, from basic syntax and core functions to pattern matching, substitution, and performance optimization. Practical examples illustrate real-world applications such as data validation, log file analysis, and web scraping, allowing readers to apply their knowledge to complex programming tasks. Advanced techniques, including lookaround assertions, atomic groups, and verbose mode, are explained with precision, equipping readers with the tools to tackle challenging text processing problems.

Название: Python Automation for Beginners: A Practical Guide with Examples
Автор: William E. Clark
Издательство: Nobtrex L.L.C.
Год: 2025
Страниц: 317
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

This book offers a comprehensive introduction to Python programming and automation, designed specifically for individuals with little to no prior coding experience. It provides detailed, methodical instruction that combines foundational concepts with practical applications, allowing readers to build technical proficiency from the ground up. Through a structured progression of topics, the text covers installing and configuring Python, understanding basic syntax, and developing control flow strategies using conditionals and loops. Python libraries such as requests, BeautifulSoup, and Selenium have become indispensable tools for automating interactions with web resources. The Requests library simplifies the process of sending HTTP requests and handling responses, handling common tasks such as interacting with RESTful interfaces. BeautifulSoup is used for parsing HTML and XML documents, enabling automated scripts to extract and manipulate web data. Furthermore, Selenium serves a different purpose by providing an interface for automated web browser control.

Название: C++ Basics for New Programmers: A Practical Guide with Examples
Автор: William E. Clark
Издательство: Nobtrex L.L.C.
Год: 2025
Страниц: 299
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

This book provides a clear and methodical introduction to C++ programming, designed for individuals with no previous coding experience. It emphasizes a practical approach to mastering the essential building blocks of software development, ensuring that readers understand both the theoretical aspects and the hands-on procedures needed to write efficient and reliable code. The text is meticulously organized to guide learners through the complexities of the language while maintaining a focus on technical precision. Structured into well-defined chapters, the content begins with the basics of setting up a development environment and progresses through topics such as variables, data types, control structures, and functions. Advanced subjects including object-oriented programming, pointers, memory management, and the use of the Standard Template Library are explored in depth. The layout is designed to facilitate incremental learning, with each chapter building on the previous one to develop a robust understanding of C++ programming.

Название: AI-Based Advanced Optimization Techniques for Edge Computing
Автор: Mohit Kumar, Gautam Srivastava, Ashutosh Kumar Singh
Издательство: Wiley-Scrivener
Год: 2025
Страниц: 472
Язык: английский
Формат: pdf (true)
Размер: 19.9 MB

The book offers cutting-edge insights into AI-driven optimization algorithms and their crucial role in enhancing real-time applications within fog and Edge IoT networks and addresses current challenges and future opportunities in this rapidly evolving field. This book focuses on Artificial Intelligence-induced adaptive optimization algorithms in fog and Edge IoT networks. Artificial Intelligence (AI), fog, and edge computing, together with IoT, are the next generation of paradigms offering services to people to improve existing services for real-time applications. Over the past few years, there has been rigorous growth in AI-based optimization algorithms and Edge and IoT paradigms. However, despite several applications and advancements, there are still some limitations and challenges to address including security, adaptive, complex, and heterogeneous IoT networks, protocols, intelligent offloading decisions, latency, energy consumption, service allocation, and network lifetime.

Название: Библия C#
Автор: Фленов М. Е.
Издательство: БХВ-Петербург
Год: 2024
Формат: pdf, djvu
Страниц: 511
Размер: 12.3 Мб
Язык: русский

Книга посвящена программированию на языке C# для платформы Microsoft .NET, начиная с основ языка и разработки программ для работы в режиме командной строки и заканчивая созданием современных веб-приложений. Материал сопровождается большим количеством практических примеров. Подробно описывается логика выполнения каждого участка программы. Уделено внимание вопросам повторного использования кода. В 6-м издании примеры переписаны с учетом современной платформы .NET 7, большой упор сделан на веб-приложения и фреймворк доступа к данным Entity Framework.

Название: Applied Machine Learning for Data Science Practitioners
Автор: Vidya Subramanian
Издательство: Wiley
Год: 2025
Страниц: 635
Язык: английский
Формат: pdf (true)
Размер: 56.4 MB

Single volume reference on using various aspects of Data Science to evaluate, understand, and solve business problems. A reference book for anyone in the field of Data Science, Applied Machine Learning for Data Science Practitioners walks readers through the end-to-end process of solving any Machine Learning problem by identifying, choosing, and applying the right solution for the issue at hand. The text enables readers to figure out optimal validation techniques based on the use case and data orientation, choose a range of pertinent models from different types of learning, and score models to apply metrics across all the estimators evaluated. Unlike most books on Data Science in today's market that jump right into algorithms and coding and focus on the most-used algorithms, this text helps data scientists evaluate all pertinent techniques and algorithms to assess all these Machine Learning problems and suitable solutions. Readers can make an informed decision on which models and validation techniques to use based on the business problem, data availability, desired outcome, and more.