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Clean Code with C#

Welcome to Clean Code in C#. You will learn how to identify problematic code that, while it compiles, does not lend itself to readability, maintainability, and extensibility. You will also learn about various tools and patterns, along with ways to refactor code to make it clean.

Cloud Penetration Testing for Red Teamers

Congratulations, dear reader! Over the past 15 years or so, there has been tremendous growth in the use of cloud platforms. Amazon’s AWS formally launched in 2006, and Microsoft Azure and Google Cloud Platform (GCP) soon followed in 2008. There are many cloud platforms out there, but AWS, Azure, and GCP are the most popular. AWS, Azure, and GCP empower companies, organizations, and enterprises to deploy networks that are more powerful and scalable than what was possible to do on their own premises. Many organizations even have more than one cloud platform in their networks.Cloud networks are connected to the public internet, so naturally, they’re susceptible to a wide range of cyberattacks. With the growing popularity of cloud platforms and companies realizing that they need to secure their cloud networks for the sake of business success, people with cloud penetration testing skills are greatly needed in the international job market. By learning how to simulate cyberattacks in cloud platforms for the sake of security testing, your abilities will be desired, no matter where in the world you are.

C++ High Performance for Financial Systems

The financial industry is complex and always changing, needing advanced tech solutions. C++ is a popular language for creating powerful software in finance due to its speed and reliability. This book explores how C++ is used in finance and trading, guiding you on applying it to build effective trading systems.Whether you’re a tech-savvy developer entering finance or a finance pro wanting more tech know-how, this book helps you navigate financial technology. It covers the technical basics for building trading systems, including network protocols and other essential considerations

Cracking the Data Engineering Interview

Within the domain of data, a distinct group of experts known as data engineers are devoted to ensuring that data is not merely accumulated, but rather refined, dependable, and prepared for analysis. Due to the emergence of big data technologies and the development of data-driven decision-making, the significance of this position has increased substantially, rendering data engineering one of the most desirable careers in the technology sector. However, the trajectory toward becoming a prosperous data engineer remains obscure for many.Cracking the Data Engineering Interview serves as a printed mentor. Providing ambitious data engineers with the necessary information, tactics, and self-assurance to enter this ever-changing industry. The organization of this book facilitates your progression in comprehending the domain of data engineering, attaining proficiency in its fundamental principles, and equipping yourself to confront the intricacies of its interviews

Решение основных задач линейной алгебры на языке  R и Excel

В учебном пособии рассматриваются основные темы курса линейной алгебры, связанные с матричной алгеброй: матрицы, определители, методы решения систем линейных уравнений. Объясняются способы вычисления определителей нахождения обратной матрицы, ранга матрицы. Разбираются методы Гаусса, Крамера, обратной матрицы для решения систем уравнений. Для всех разделов приводятся основные теоретические сведения, подробные решения типовых задач с помощью языка R и Excel. Также на каждую тему приводятся задачи для самостоятельного решения.

Решение задач глубокого обучения с использованием фреймворков Pytorch и Pytorch Lightning

Представляет собой комплексное руководство, предназначенное для изучения и применения фреймворков PyTorch и PyTorch Lightning в контексте задач глубокого обучения с акцентом на область компьютерного зрения. Предназначено для студентов 3 и 4 курсов направления подготовки 09.03.02 «Информационные системы и технологии», 1 и 2 курсов направления подготовки 09.04.02 «Информационные системы и технологии».

Cracking the Data Science Interview

In today’s dynamic technological landscape, the demand for skilled professionals in artificial intelligence (AI) and data science roles has surged, and the data science job market is increasingly saturated by various levels of data science and AI employees. This book is a comprehensive guide, crafted to equip both aspiring and seasoned individuals with the essential tools and knowledge required to navigate the intricacies of data science interviews. Whether you’re stepping into the AI realm for the first time or aiming to elevate your expertise, this book offers a holistic approach to mastering the fundamental and cutting-edge facets of the field.The chapters within this book span a wide spectrum of critical subjects, from programming with Python and SQL to statistical analysis, pre-modeling and data cleaning concepts, machine learning (ML), deep learning, Large Language Models (LLMs), and generative AI. We aim to provide a comprehensive review and update on the foundational concepts while also delving into the latest advancements. In an era marked by the disruptive potential of language models and generative AI,it’s imperative to continually hone your skills. This book serves as a compass, guiding you through the intricacies of these transformative technologies, ensuring you’re poised to tackle the challenges and harness the opportunities they present

Рецепты Python. Коллекция лучших техник программирования

В «Рецептах Python» используется простой, но эффективный метод освоения 63-х базовых навыков программирования на Python. Сначала формулируется вопрос, например «Как найти элементы в последовательности?» Затем приводится базовое решение на чистом понятном коде. Далее исследуются другие интересные подходы, такие как поиск подстрок или пользовательские классы. Перед переходом к следующему вопросу полученные навыки закрепляются с помощью решения задач. Автор рассматривает все языковые средства, необходимые для уверенного владения Python. По ходу знакомства с книгой вы изучите лучшие приемы написания питонического кода. В освоении каждого инструмента помогут конкретные рекомендации и рисунки. Многочисленные перекрестные ссылки указывают на возможность повторного использования рассматриваемых средств и концепций в различных контекстах.

Рендеринг на основе законов физики

В книге описывается рендеринг, основанный на рейтрейсинге – алгоритме трассировки лучей, который способен отображать физически реалистичные изображения сложных сцен. Описывается рейтрейсинг как вычислительный метод, основанный на физике процесса; рассматриваются радиометрия, спектры и цвет, представление геометрии сцены, иерархии ограничивающих объемов, текстуры и материалы, семплинг и антиалиасинг, источники света и многое другое. Большое внимание уделяется оптимизации процесса рендеринга, а также использовани. графического процессора для ускорения вычислений. Издание предназначено для разработчиков программного обеспечения, тех, кто занимается исследованиями в области компьютерной графики, а также студентов и аспирантов, обучающихся по данному направлению.

Critical Infrastructure Security

This book offers an essential guide for anyone aiming to fortify critical infrastructure against cyber threats. It merges fundamental cybersecurity principles with compelling real-world case studies, enhancing retention and offering engaging insights into the complexities of critical infrastructure cybersecurity. The book specifically addresses the knowledge gap brought about by the convergence of Information Technology (IT) and Operational Technology (OT), providing valuable perspective for practitioners navigating this evolving landscape. It serves as an invaluable resource for cyber defenders, delivering practical knowledge gained from historical cyber incidents to prevent future breaches. From exploring vulnerabilities to presenting strategies for protection, this book equips readers with the understanding necessary to mitigate attacks on critical infrastructure

C++ Game Development Cookbook

This book provides a detailed look at some of the aspects of C++ which could be used for games development.Game Development Basics, explains the basics of C++ programming, writing small programs to be used in games, and how to handle memory in games.

C++ Game Animation Programming

Character animations have existed since the first games were created for computers. The spaceships in SpaceWar!, written by Steve Russell in 1962 for a PDP-1, and Computer Space by Nolan Bushnell, released in 1971 as an arcade cabinet, were animated, with the animation showing the direction in which the spaceships headed.

Data Engineering with Google Cloud Platform

There is too much information – too many options and plans. Things are complicated. We live in a world where there is more and more information, which can be as problematic as too little information, and I’m aware that this condition applies when people want to start doing data engineering in the cloud, specifically Google Cloud Platform (GCP) in this book.

Data Engineering with Scala and Spark

Every company today is a data company regardless of the industry. Innovative companies use data to analyze the past, predict what will happen, and react to what is happening now. Data engineers are some of the most critical employees at companies today. They are essential for collecting, cleaning, and maintaining trusted datasets that analysts, data scientists, and reporting tools use to provide insights.

C++17 Standard Library Quick Reference

The C++ Standard Library is a collection of essential classes and functions used by millions of C++ programmers on a daily basis. Being part of the ISO Standard of the C++ Programming Language, an implementation is distributed with virtually every C++ compiler. Code written with the C++ Standard Library is therefore portable across compilers and target platforms.

Data Labeling in Machine Learning with Python

In today’s data-driven era, where more than 2.5 quintillion bytes of data are produced daily in various forms such as text, image, audio, and video, data stands as the cornerstone of the AI revolution. However, the majority of real-world data available for training supervised machine learning models lacks labels, or we encounter limited labeled data. This presents a significant challenge, as labeled data is essential for training any supervised machine learning model and fine-tuning large language models in the age of generative AI.To address the scarcity of labeled data and facilitate the preparation of labeled data for training supervised machine learning models and fine-tuning large language models, this book introduces various methods for programmatic data labeling using Python libraries and methods, including semisupervised and unsupervised learning.