Litgu.ru - Литературный Гуру

Название: Docker на практике
Автор: Сейерс Э. Х. , Милл А.
Издательство: ДМК Пресс
Год: 2020
Cтраниц: 516
Формат: pdf (ocr)
Размер: 18 мб
Язык: русский

Данная книга научит вас надежным, проверенным методам, используемым Docker, таким как замена виртуальных машин, использование архитектуры микросервисов, эффективное моделирование сети, производительность в автономном режиме и создание процесса непрерывной доставки на базе контейнеров. Следуя формату «проблема/решение» в стиле поваренной книги, вы изучите реальные варианты использования Docker и узнаете, как применить их к собственным проектам. Издание предназначено разработчикам, использующих Docker в своем рабочем окружении.

Название: Изучаем TypeScript 3
Автор: Розенталс Н.
Издательство: Москва
Год: 2019
Cтраниц: 624
Формат: pdf (ocr)
Размер: 28 мб
Язык: русский

Книга начинается со знакомства с языком TypeScript, и, поэтапно переходит от базовых понятий к продвинутым и мощным функциям языка, включая методы асинхронного программирования, декораторы и обобщения. Также параллельно рассматривается множество современных фреймворков jаvascript и TypeScript - для каждого из них подробно описано модульное и интеграционное тестирование. Описаны некоторые из известных объектно-ориентированных методов и шаблонов проектирования, а также представлены их реальные реализации. К концу книги вы создадите всеобъемлющее комплексное веб-приложение, которое покажет, как можно объединить в реальном сценарии возможности языка TypeScript, шаблоны проектирования и передовые практики разработки.

Название: AI for Utilities: Reimagining the Future Energy System
Автор: Debashish Roi
Издательство: Springer
Год: 2024
Страниц: 207
Язык: английский
Формат: pdf
Размер: 26.4 MB

This transformative book explores the power of Artificial Intelligence (AI) in revolutionizing the utilities industry. It covers crucial topics such as intelligent grids, decentralized energy resources, customer engagement, electric vehicle integration, and more, providing a comprehensive and practical guide to successfully navigate the energy transition. Whether you're a seasoned industry expert or a curious student, this book equips you with the knowledge and insights to embrace sustainability, navigate the complex energy landscape, leverage AI to shape a positive future, and join the movement towards a greener world, empowered by AI's potential in the utilities industry. Professionals and decision makers in the global utilities industry who want to leverage Artificial Intelligence (AI) technologies to transform their operations and address challenges and opportunities in the energy sector. This book may also appeal to researchers, academics, and students in the fields of energy engineering, environmental science, data analytics, and AI who want to gain a deeper understanding of AI in the utilities sector and its implications for sustainable energy systems.

Название: Mastering Technical Art in Unreal Engine: Materials and VFX
Автор: Greg Penninck, Stuart Butler
Издательство: CRC Press
Год: 2025
Страниц: 251
Язык: английский
Формат: pdf (true)
Размер: 56.6 MB

This book covers how to build materials and VFX that bring your projects to life in the Unreal Engine. Each chapter will provide you with the necessary underpinning theory as well as activities to test your learning inside of the Unreal Engine. You'll learn about Material Graphs, Parameters, Instances, Materials Maths, Nodes, Niagara Emitters and much more as you complete project-based examples. Included in the book is a series of introductory demonstration videos and quizzes to help test your learning, giving you all the tools and knowledge to make cutting edge game materials and VFX. As suggested earlier when discussing software, understanding scripting and high-level programming languages can be benefcial for technical artists. You might not always be expected to program in languages such as C++, but the utilization of scripting languages such as Lua, Python, Java or Blueprint is more common. This book will be of great interest to all students learning to create technical art within the Unreal Engine, as well as professionals looking to sharpen their skills.

Название: Antivirus Engines: From Methods to Innovations, Design, and Applications
Автор: Paul A. Gagniuc
Издательство: Syngress
Год: 2025
Страниц: 656
Язык: английский
Формат: epub
Размер: 44.9 MB

Antivirus Engines: From Methods to Innovations, Design, and Applications offers an in-depth exploration of the core techniques employed in modern antivirus software. It provides a thorough technical analysis of detection methods, algorithms, and integration strategies essential for the development and enhancement of antivirus solutions. The examples provided are written in Python, showcasing foundational, native implementations of key concepts, allowing readers to gain practical experience with the underlying mechanisms of antivirus technology. The text covers a wide array of scanning techniques, including heuristic and smart scanners, hexadecimal inspection, and cryptographic hash functions such as MD5 and SHA for file integrity verification. These implementations highlight the crucial role of various scanning engines, from signature-based detection to more advanced models like behavioral analysis and heuristic algorithms.

Название: Data Science with Python: From Data Wrangling to Visualization
Автор: Laszlo Bocso
Издательство: Independently published
Год: 2024
Страниц: 544
Язык: английский
Формат: pdf, epub
Размер: 10.9 MB

Unlock the power of Data Science with Python in this comprehensive guide that takes you from beginner to advanced practitioner. Whether you're an aspiring data scientist, a seasoned analyst looking to expand your skillset, or a software developer venturing into the world of data, this book is your roadmap to mastering the essential tools and techniques of modern Data Science. In today's data-driven world, the ability to extract meaningful insights from vast amounts of information is a critical skill. "Data Science with Python" provides a structured approach to learning, covering the entire data science pipeline from data collection to visualization and deployment. Starting with the basics of Python programming, you'll quickly progress to working with powerful libraries such as Pandas, NumPy, and Scikit-learn. Through hands-on examples and real-world projects, you'll gain practical experience.

Название: Data Visualization in R and Python
Автор: Marco Cremonini
Издательство: Wiley
Год: 2025
Страниц: 576
Язык: английский
Формат: epub
Размер: 98.2 MB

Communicate the data that is powering our changing world with this essential text. The advent of Machine Learning and neural networks in recent years, along with other technologies under the broader umbrella of ‘Artificial Intelligence,’ has produced an explosion in Data Science research and applications. Data Visualization, which combines the technical knowledge of how to work with data and the visual and communication skills required to present it, is an integral part of this subject. The expansion of Data Science is already leading to greater demand for new approaches to Data Visualization, a process that promises only to grow. Data Visualization in R and Python offers a thorough overview of the key dimensions of this subject. Beginning with the fundamentals of data visualization with Python and R, two key environments for data science, the book proceeds to lay out a range of tools for data visualization and their applications in web dashboards, Data Science environments, graphics, maps, and more. With an eye towards remarkable recent progress in open-source systems and tools, this book offers a cutting-edge introduction to this rapidly growing area of research and technological development.

Название: Learn Haskell by Example
Автор: Philipp Hagenlocher
Издательство: Manning Publications
Год: 2025
Страниц: 456
Язык: английский
Формат: epub
Размер: 10.6 MB

Learn Haskell by doing Haskell projects! In this book, you’ll get practical experience writing Haskell code and applying functional programming to actual development challenges. In Learn Haskell by Example, you’ll build your Haskell skills by working through hands-on challenges and conundrums. You’ll learn to look at each project through a Haskell lens, and then solve it using features like lazy evaluation, immutable data structures, and monads. Haskell is a language that, from the outside, may seem shrouded in mystery, academic vocabulary, and foreign concepts. While some of that is true, I fully believe you don’t have to have a PhD in mathematics to get things done with the language. It’s only a matter of the right introduction. It’s possible to start writing real programs very quickly with Haskell, and that is what this book is primarily about.

Название: The Definitive Guide to Modern Java Clients with JavaFX: Cross-Platform Mobile and Cloud Development Updated for JavaFX 21 and 23, 3rd Edition
Автор: Stephen Chin, Johan Vos, James Weaver
Издательство: Apress
Год: 2024
Страниц: 622
Язык: английский
Формат: pdf
Размер: 18.1 MB

Build enhanced visual experiences and design and deploy modern, easy-to-maintain, client applications across a variety of platforms. This book will show you how these applications can take advantage of JavaFX's latest user interface components, 3D technology, and cloud services to create immersive visualizations and allow high-value data manipulation. This book is a professional reference for building Java applications for desktop, mobile, and embedded in the Cloud age. It offers end-to-end coverage of the latest features in JavaFX 21 and 23. This third edition has been updated to include new features introduced in JavaFX 21 and 23, including NEW APIs: Map, FlatMap, and OrElse fluent bindings for ObservableValue, along with the new Subscription API. Additionally, it's updated to account for new bug fixes and overall improvements to existing functionality in Java. For professional Java developers who are interested in learning the latest client Java development techniques to fill out their skills set.

Название: R for Basic Biostatistics in Medical Research
Автор: Anand Srinivasan, Archana Mishra, Praveen Kumar-M
Издательство: Springer
Год: 2024
Страниц: 307
Язык: английский
Формат: pdf (true), epub
Размер: 29.3 MB

The scientific community at the global level is fast becoming aware of the rising use of open-source tools such as R and Python for data analysis. Unfortunately, in spite of the awareness, the conversion of the intrigue to the practical knowledge in utilization of the open-source tools for routine day-to-day data analysis is seriously lacking both among physicians and medical scientists. This book enables physician-scientists to understand the complexity of explaining a programming/ data-analytic language to a healthcare professional and medical scientist. It simplifies and explains how R can be used in medical projects and routine office works. It also talks about the methodologies to convert the knowledge to practice. The book starts with the introduction to the structure of R programming language in the initial chapters, followed with explanations of utilizing R in the basics of data analysis like data importing and exporting, operations on a data frame, parametric and non-parametric tests, regression, sample size calculation, survival analysis, receiver operator characteristic analysis (ROC) and techniques of randomization.