Название: Курс Delphi для начинающих. Полигон нестандартных задач
Автор: Ремнев А.А., Федотова С.В.
Издательство: СОЛОН-ПРЕСС
Год: 2016
Cтраниц: 355
Формат: pdf
Размер: 61 мб
Язык: русский

Курс программирования предполагает последовательное изучение материала от простого к сложному. Большая часть материалов книги посвящена разбору и решению практических задач. Книга будет полезна широкому кругу читателей — студентам вузов, учащимся лицеев, колледжей, школьникам. Особый интерес она вызовет у преподавателей информатики благодаря строго структурированному системному подходу в изложении материала, а также включению в рассмотрение методологии поисково-деятельностных образовательных технологий проблемного обучения, таких как: исследование, проект или проектно-исследовательская деятельность, решение олимпиадных задач.

Название: Разрешение существующих парадоксов в физике на основе теории мироздания
Автор: Рысин А.В. и др.
Издательство: Техносфера
Год: 2011
Cтраниц: 602
Формат: pdf
Размер: 56 мб
Язык: русский

Предложен новый подход к пониманию взаимосвязи электромагнитных и гравитационных полей, составляющих основу нашего мироздания, на основе критики и анализа парадоксов в области ядерной физики, квантовой механики и теории электромагнитного взаимодействия.

Название: Краткая энциклопедия домашнего хозяйства
Автор: А.Ф. Ахабадзе, А.Л. Грекулова, К.В. Жуков, П.А. Колесников и др.
Издательство: М.: Советская энциклопедия
Год: 1978 - 5 издание
Cтраниц: 1408 ст., с ил.
Формат: pdf
Размер: 64 мб

Главная задача Краткой энциклопедии домашнего хозяйства - помочь советским людям лучше организовать свой быт и досуг. Энциклопедия знакомит читателя с приборами, аппаратами, приспособлениями, всевозможным хозяйственным инвентарём и посудой. В книге содержатся советы по умелому выбору одежды, правильному подходу к требованиям моды.

Название: Edge Computing with Kubernetes: Building, deploying, and orchestrating applications securely at the edge using KubeEdge
Автор: Lekha Menon, Gopalakrishnan Ramamoorthy, Harikrishnan Nithyanandan
Издательство: BPB Publications
Год: 2025
Страниц: 324
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

KubeEdge represents a dynamic evolution in edge computing, continually adapting to the growing demands of modern applications and the Internet of Things (IoT). The foresight of its founders has been instrumental in establishing a robust framework that not only extends Kubernetes capabilities but also fosters collaboration within the open-source community, ensuring that KubeEdge remains at the forefront of technological advancements in edge environments. This book covers containers, Kubernetes fundamentals, and KubeEdge's architecture, including CloudCore, EdgeCore, and DeviceTwin. Learn installation, configuration, and management, focusing on scalability, security, and resilience. Explore workload management, upgrades, observability, and automation with tools like Terraform and Ansible. The book also reviews industry alternatives, SIGs, and collaborations with CNCF projects. Finally, discover real-world applications in industries like manufacturing and retail, with insights into Sedna AI for edge analytics. Through practical examples, industry insights, and case studies, this book describes what is currently developed around KubeEdge and the functional and non-functional aspects surrounding it. This book is designed for IT professionals, software developers, and technical managers seeking to deepen their understanding of edge computing and KubeEdge.

Название: Mastering Retrieval-Augmented Generation: Building next-gen GenAI apps with LangChain, LlamaIndex, and LLMs
Автор: Prashanth Josyula, Karanbir Singh
Издательство: BPB Publications
Год: 2025
Страниц: 394
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Large language models (LLMs) like GPT, BERT, and T5 are revolutionizing how we interact with technology — powering virtual assistants, content generation, and data analysis. As their influence grows, understanding their architecture, capabilities, and ethical considerations is more important than ever. This book breaks down the essentials of LLMs and explores retrieval-augmented generation (RAG), a powerful approach that combines retrieval systems with generative AI for smarter, faster, and more reliable results. It provides a step-by-step approach to building advanced intelligent systems that utilize an innovative technique known as the RAG thus making them factually correct, context-aware, and sustainable. You will start with foundational knowledge — understanding architectures, training processes, and ethical considerations — before diving into the mechanics of RAG, learning how retrievers and generators collaborate to improve performance. The book introduces essential frameworks like LangChain and LlamaIndex, walking you through practical implementations, troubleshooting, and optimization techniques. This book is for AI practitioners, data scientists, students, and developers looking to implement RAG using LangChain and LlamaIndex. Readers having basic knowledge of Python, ML concepts, and NLP fundamentals would be able to leverage the knowledge gained to accelerate their careers.

Название: Mastering APIs for Enterprise Applications: Practical guide to building robust, scalable, and secure APIs
Автор: Rajan Subramanian
Издательство: BPB Publications
Год: 2025
Страниц: 364
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Technology is moving towards modern digital systems with business functionality exposed by integrating multiple best-of-breed software systems. In today's interconnected digital landscape, application programming interfaces (APIs) are the backbone of enterprise applications, enabling seamless data exchange and service integration. This book takes you through the entire API lifecycle, starting with the evolution of APIs and moving beyond traditional REST to modern architectures like GraphQL and gRPC. You will learn the core principles of API design, including best practices, security protocols, and open standard adoption like OpenAPI. You will also gain practical skills in API development, testing, and documentation, focusing on enhancing developer experience and ensuring scalability. Crucial aspects of API governance, real-time API implementation, and API gateways are thoroughly covered. Finally, the book explores emerging trends, including generative AI APIs, vision, natural language processing (NLP), speech, and large language models (LLMs), preparing you for the future of API integration. This book is for developers, architects, and technical leads, who want to design and develop robust, scalable, and secure APIs for their web applications. It assumes a basic understanding of HTTP, JSON, and jаvascript.

Название: Tableau for Job Seekers: Performing data transformations, designing dynamic visualizations, and preparing for Tableau roles
Автор: Chandraish Sinha
Издательство: BPB Publications
Год: 2025
Страниц: 292
Язык: английский
Формат: epub (true)
Размер: 20.5 MB

Tableau is the leading data visualization tool, empowering users to transform raw data into actionable insights. This book bridges the gap between learning Tableau and securing a data-driven career, focusing on practical skills and market relevance for aspiring data analysts. Tableau helps organizations make sense of complex data, professionals with strong Tableau skills unlock exciting career opportunities. Tableau for Job Seekers systematically guides you from foundational concepts to advanced techniques. You will begin with an overview of Tableau's business applications and understand its critical role in the job market, including insights from Gartner Magic Quadrant. The book then explores the interface, data connections (Excel, databases, SQL), and essential data preparation, covering relationships, joins, and blending. You will master calculations, including LOD expressions, and learn to use filters, parameters, groups, sets, and bins for refined analysis. Geographic visualizations and compelling chart creation are thoroughly explained, culminating in dashboard and story development. Practical interview preparation, including online profile building, ensures you are ready for your next career move. Upon completing this book, you will possess the technical skills and practical knowledge to confidently use Tableau, build impactful visualizations, and excel in data analyst roles, positioning yourself as a highly competent candidate in today's competitive job market.

Название: Software Testing and Quality Assurance: Exploring testing levels, test tools, automation, and quality metrics for improved software quality
Автор: Dinesh Jain, Abhay Kothari
Издательство: BPB Publications
Год: 2025
Страниц: 256
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Software Testing and Quality Assurance is a critical field in the software development lifecycle that ensures applications meet high standards of functionality and reliability. With rapid technological advancements and increased reliance on software across industries, understanding the core principles and techniques of software testing has never been more important. This book is designed to help you gain a solid foundation in software testing and quality assurance (QA) while providing practical knowledge to excel in the field. This book offers a step-by-step journey through the world of software testing, starting with the introduction of testing as an engineering activity and the role of testers in software development. It covers key testing methodologies, including white box and black box testing, and introduces fundamental testing techniques like equivalence partitioning and boundary value analysis. The book explains levels of testing such as unit, integration, system, and validation testing. This book is ideal for IT professionals, students, and individuals working in software testing. It is also suited for beginners in the field, and anyone studying Software Testing and Quality Assurance.

Название: Cutting-Edge Artificial Intelligence: Advances and Implications in Real-World Applications
Автор: Walayat Hussain, Luis Martínez López, Manoj Sahni, Zhen-Song Chen, Jun Liu
Издательство: CRC Press
Год: 2025
Страниц: 200
Язык: английский
Формат: pdf, epub (true)
Размер: 12.7 MB

Artificial Intelligence (AI) is impacting industries worldwide by introducing new methods and altering traditional practices. This book examines AI’s diverse effects, providing insights into its applications, challenges, and future prospects across education, healthcare, finance, and more. The chapters explore how AI technologies, such as large language models (LLMs), enhance feedback in higher education and influence legal studies while upholding academic integrity. A review of key technical approaches―knowledge-based systems, Machine Learning (ML), and intelligent optimization―lays the groundwork for understanding AI’s potential. Real-world examples illustrate AI’s role in medical imaging, presenting new diagnostic methods and the use of language models for image interpretation. Additionally, it covers personalized Federated Learning (FL) models, highlighting the importance of data privacy and security in AI’s evolution. This comprehensive guide is valuable for educators, researchers, practitioners, and students interested in AI’s current and future developments. By combining theory with practical examples, the book offers readers a clear understanding of how AI affects various sectors, enabling them to engage effectively with this rapidly evolving field.

Название: Fractional-Order Activation Functions for Neural Networks: Case Studies on Forecasting Wind Turbines’ Generated Power
Автор: Kishore Bingi, Ramadevi Bhukya, Venkata Ramana Kasi
Издательство: Springer
Год выхода: 2025
Страниц: 246
Формат: True PDF; True ePUB
Размер: 120 MB
Язык: английский

This book suggests the development of single and multi-layer fractional-order neural networks that incorporate fractional-order activation functions derived using fractional-order derivatives. Activation functions are essential in neural networks as they introduce nonlinearity, enabling the models to learn complex patterns in data. However, traditional activation functions have limitations such as non-differentiability, vanishing gradient problems, and inactive neurons at negative inputs, which can affect the performance of neural networks, especially for tasks involving intricate nonlinear dynamics.