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Построение запросов и программирование на SQL (2014)
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Название: Построение запросов и программирование на SQL
Автор: Маркин А. В.
Издательство: Диалог-МИФИ
Год: 2014 - 3-е изд., перераб. и доп.
Cтраниц: 384 с. : ил.
Формат: pdf (ocr) / djvu
Размер: 21 мб
Язык: русский

Подробно рассмотрены основные синтаксические конструкции, применяемые при построении запросов на языке структурированных запросов (SQL), а также программировании хранимых процедур и триггеров. Теоретический материал в полной мере проиллюстрирован примерами запросов и скриптов для учебной БД, являющейся упрощенной моделью БД реальной информационной системы.


Категория: КНИГИ » ПРОГРАММИРОВАНИЕ
Modern Cryptography: The Practical Guide to Securing Data
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Название: Modern Cryptography: The Practical Guide to Securing Data
Автор: Sandip Dholakia
Издательство: Rheinwerk Publishing
Год: 2024
Страниц: 325
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Security professionals, you know encryption is essential to protect your data. In this book, learn about the fundamental concepts of cryptography—and then apply them! Explore algorithms for symmetric and asymmetric cryptography and see how to use encryption strategies to enforce storage and network security. Put modern cryptography principles to work in real-world scenarios: cloud environments, cryptocurrency, artificial intelligence, quantum computing, and more. Build the cryptography skills you need to manage today’s security threats! This book aims to provide you with a comprehensive understanding of modern cryptography and its practical applications, ranging from lightweight cryptography to post-quantum cryptography and from cryptocurrency to homomorphic encryption. After reading this book, as a security professional, you’ll be equipped to apply your newfound knowledge to protect data and information, create and implement cryptography guidelines and policies, and develop a robust cryptography program for your organization.


Категория: КНИГИ » ПРОГРАММИРОВАНИЕ
Изучаем OpenTelemetry: современный мониторинг систем
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Название: Изучаем OpenTelemetry: современный мониторинг систем
Автор: Тед Янг, Остин Паркер
Издательство: Спринт Бук
Год: 2025
Страниц: 240
Язык: русский
Формат: pdf, epub, mobi
Размер: 10.2 MB

Появление OpenTelemetry произвело революцию в сфере наблюдаемости. Вместо того чтобы использовать несколько разрозненных систем, OpenTelemetry интегрирует трассировки, метрики и журналы в общий поток данных, предоставляя возможность оценить недоступные ранее взаимосвязи между ними. В этом практическом руководстве показано, как настраивать, использовать и диагностировать систему наблюдаемости OpenTelemetry. Авторы Тед Янг и Остин Паркер, руководители, основатели и участники проекта OpenTelemetry, представляют все компоненты OpenTelemetry, а также лучшие практики наблюдаемости для многих популярных облачных сервисов, платформ и сервисов данных, таких как Kubernetes и AWS Lambda. Вы узнаете, как OpenTelemetry дает возможность сервисам и библиотекам OSS создавать собственное нативное инструментирование – впервые в отрасли.


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Bug Bounty автоматизация с помощью Python. Секреты охоты за уязвимостями
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Название: Bug Bounty автоматизация с помощью Python. Секреты охоты за уязвимостями
Автор: Саид Абутахир
Издательство: Самиздат
Год: 2020
Язык: русский
Формат: pdf, epub
Размер: 10.2 MB

Эта книга демонстрирует практическую автоматизацию с помощью Python для каждой темы, указанной в оглавлении. Эта книга дает вам базовое представление о том, как автоматизировать что-либо, чтобы сократить количество повторяющихся задач и выполнять автоматизированные способы OSINT и разведки. Эта книга также дает вам обзор программирования на Python в разделе «Краткий курс Python», и объясняет, как автор заработал более $25000 в bug bounty с помощью автоматизации. Эта книга - первая часть серии по автоматизации баг-баунти.


Категория: КНИГИ » ПРОГРАММИРОВАНИЕ
Nonparametric Statistical Methods Using R, 2nd Edition
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Название: Nonparametric Statistical Methods Using R, 2nd Edition
Автор: John Kloke, Joseph McKean
Издательство: CRC Press
Год: 2024
Страниц: 466
Язык: английский
Формат: pdf (true)
Размер: 32.6 MB

This thoroughly updated and expanded second edition of Nonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based analyses. Two new chapters covering multivariate analyses and Big Data have been added. Core classical nonparametrics chapters on one- and two-sample problems have been expanded to include discussions on ties as well as power and sample size determination. Common Machine Learning topics - including k-nearest neighbors and trees - have also been included in this new edition. We have provided numerous examples of real and simulated datasets that illustrate the methods and their computation in R. Hence, we feel that this book also serves as an informative handbook for the researcher wishing to implement nonparametric and rank-based methods in practice. Given that R has continued to grow in popularity, we think that many readers will have already taken a course in R or an applied course that used R extensively. For the vast majority of the book, we have used core R (or base R) rather than add-on packages such as Tidyverse.


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Architecting Enterprise AI Applications: A Guide to Designing Reliable, Scalable, and Secure Enterprise-Grade AI Solutions
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Название: Architecting Enterprise AI Applications: A Guide to Designing Reliable, Scalable, and Secure Enterprise-Grade AI Solutions
Автор: Anton Cagle, Ahmed Ceifelnasr Ahmed
Издательство: Apress
Год: 2024
Страниц: 282
Язык: английский
Формат: pdf
Размер: 36.1 MB

This book explores how to define, design, and maintain enterprise AI applications, exploring the impacts they will have on the teams who work with them. The book is structured into four parts. In Part 1: Defining Your AI Application, you are introduced to the dynamic interplay between human adaptability and AI specialization, the concept of meta systems, and the mechanics of prediction machines. In Part 2: Designing Your AI Application, the book delves into the anatomy of an AI application, unraveling the intricate relationships among data, Machine Learning, and reasoners. This section introduces the building blocks and enterprise architectural framework for designing multi-agent systems. Part 3: Maintaining Your AI Application takes a closer look at the ongoing life cycle of AI systems. You are guided through the crucial aspects of testing and test automation, providing a solid foundation for effective development practices. This section covers the critical tasks of security and information curation that ensure the long-term success of enterprise AI applications. The concluding section, Part 4: AI Enabled Teams, navigates the evolving landscape of collaborative efforts between humans and AI. It explores the impact of AI on remote work dynamics and introduces the new roles of the expert persona and the AI handler. This section concludes with a deep dive into the legal and ethical dimensions that AI-enabled teams must navigate.


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Cyber Threat Hunting (Final Release)
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Название: Cyber Threat Hunting (Final Release)
Автор: Nadhem AlFardan
Издательство: Manning Publications
Год: 2025
Страниц: 418
Язык: английский
Формат: pdf (true)
Размер: 26.8 MB

Follow the clues, track down the bad actors trying to access your systems, and uncover the chain of evidence left by even the most careful adversary. Cyber Threat Hunting teaches you how to identify potential breaches of your security. Practical and easy-to-follow, it gives you a reliable and repeatable framework to see and stop attacks. Cyber Threat Hunting teaches you how to conduct structured expeditions using techniques that can detect even the most sophisticated cybersecurity challenges. You’ll begin by mastering the fundamentals: formulating a threat hypothesis, gathering intelligence, strategizing your approach, and executing your hunt. From there, you’ll explore advanced techniques, including machine learning and statistical analysis for anomaly detection. Using this book’s downloadable datasets and scenario templates, you’ll get the hands-on experience you need to refine your threat-hunting expertise. For security, network, and systems professionals with some Python experience.


Категория: КНИГИ » ПРОГРАММИРОВАНИЕ
AI-Powered Search (Final Release)
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Название: AI-Powered Search (Final Release)
Автор: Trey Grainger, Doug Turnbull, Max Irwin
Издательство: Manning Publications
Год: 2025
Страниц: 520
Язык: английский
Формат: pdf (true)
Размер: 35.8 MB

Apply cutting-edge Machine Learning techniques—from crowdsourced relevance and knowledge graph learning, to Large Language Models (LLMs)—to enhance the accuracy and relevance of your search results. Delivering effective search is one of the biggest challenges you can face as an engineer. AI-Powered Search is an in-depth guide to building intelligent search systems you can be proud of. It covers the critical tools you need to automate ongoing relevance improvements within your search applications. This book is for search engineers, software engineers, and data scientists who want to learn how to build cutting-edge search engines integrating the latest ML techniques to drive more domain-aware and intelligent search. The book also provides a thorough overview of AI-powered search for product managers and business leaders who may not be able to implement the techniques themselves, but who want to understand the possibilities and limitations of AI-powered search. Technical readers who want to get the most out of this book can follow along with the Python code examples. Familiarity with SQL syntax is assumed, as we’ve chosen to implement many of the data aggregations in this standardized representation when possible. A basic understanding of how search engines (such as Elasticsearch, Apache Solr, or OpenSearch) or vector databases work is also helpful, but not required.


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Helidon Revealed: A Practical Guide to Oracle's Microservices Framework
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Название: Helidon Revealed: A Practical Guide to Oracle's Microservices Framework
Автор: Michael P. Redlich
Издательство: Apress
Год: 2024
Страниц: 236
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

This book is your comprehensive introduction to Project Helidon, Oracle’s Java-based microservices framework for building cloud-native applications. The book introduces the two flavors of Helidon—Helidon SE and Helidon MP—and shows how to quickly build applications with each one. The book begins by placing the Helidon framework in context and explaining the MicroProfile and Jakarta EE specifications that underlie the building of microservices-based applications. From there, you will learn about the individual components of Helidon SE and Helidon MP, and you will see examples of building applications for both flavors, and for MicroProfile and Jakarta EE. Finally, the book shows how to convert Helidon applications from Java bytecode into native binaries for instant application startup and peak performance. For Java developers who create microservices applications; those interested in building such applications using the Helidon framework; and developers of microservices applications who want functionality such as native-image support through GraalVM, compatibility with MicroProfile, easy connectivity to database engines, and support for reactive development patterns.


Категория: КНИГИ » ПРОГРАММИРОВАНИЕ
AI Solutions for the United Nations Sustainable Development Goals (UN SDGs): A Practical Approach Using JavaScript
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Название: AI Solutions for the United Nations Sustainable Development Goals (UN SDGs): A Practical Approach Using jаvascript
Автор: Tulsi Pawan Fowdur, Lavesh Babooram
Издательство: Apress
Год: 2024
Страниц: 166
Язык: английский
Формат: pdf
Размер: 14.1 MB

Learn the United Nations Sustainable Development Goals (UN SDGs) and see how machine learning can significantly contribute to their realization. This book imparts both theoretical knowledge and hands-on experience in comprehending and constructing Machine Learning-based applications for addressing multiple UN SDGs using jаvascript. The reading begins with a delineation of diverse UN SDG targets, providing an overview of previous successful applications of Machine Learning in solving realistic problems aligned with these targets. It thoroughly explains fundamental concepts of Machine Learning algorithms for prediction and classification, coupled with their implementation in jаvascript and HTML programming. Detailed case studies examine challenges related to renewable energy, agriculture, food production, health, environment, climate change, water quality, air quality, and telecommunications, corresponding to various UN SDGs. Each case study includes related works, datasets, Machine Learning algorithms, programming concepts, and comprehensive explanations of jаvascript and HTML codes used for web-based Machine Learning applications.


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