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: Mastering Generative AI: Design Patterns Frameworks Real-World Applications
Автор: Rajni Singh
Издательство: Independently published
Год: 2025
Страниц: 417
Язык: английский
Формат: epub
Размер: 12.5 MB

This book offers a practical, end-to-end guide to Generative AI System Design, blending core concepts with real-world applications. Developing generative AI applications at the enterprise level demands significantly higher standards. Organizations require frameworks that not only support large-scale AI deployments but also ensure robust security and seamless integration with existing IT ecosystems. These frameworks must be capable of managing the intricacies of enterprise environments while remaining adaptable to shifting business priorities. Frameworks like TensorFlow and PyTorch have emerged as leading choices in this space, offering comprehensive libraries, strong community backing, and versatile integration options. Their scalability and flexibility make them well-suited for enterprise use, enabling the development of custom AI models tailored to specific business objectives. This empowers organizations to harness AI effectively and maintain a competitive advantage in their industry. Code examples are in Python.

Название: Programming Language Structures
Автор: Elliott I. Organick, Alexandra I. Forsythe, Robert P. Plummer
Издательство: Academic Press
Год: 1978
Формат: pdf/djvu
Страниц: 674
Размер: 41,3 Мб
Язык: английский

Programming Language Structures deals with the structures of programming languages and introduces the reader to five important programming languages: Algol, Fortran, Lisp, Snobol, and Pascal. The fundamental similarities and differences among these languages are discussed. A unifying framework is constructed that can be used to study the structure of other languages, such as Cobol, PL/I, and APL. Several of the tools and methodologies needed to construct large programs are also considered. Comprised of 10 chapters, this book begins with a summary of the relevant concepts and principles about algorithms, flowcharts, and computation that a student is expected to know from the first course. The discussion then turns to the semantics of procedure and function call as well as argument-parameter matching with various kinds of parameters; recursion and its relation to tree traversal; syntax formalism for context-free languages; and ALGOL 60 and block structuring. Case study programs are presented to reinforce the reader's understanding of ALGOL 60 and Fortran semantics. The remaining chapters deal with Lisp, Snobol, and Pascal. This monograph is intended for working programmers and students in computer science who have an interest in the subject of programming.

Название: Community Structure Analysis from Social Networks
Автор: Sajid Yousuf Bhat, Fouzia Jan, Muhammad Abulaish
Издательство: CRC Press
Год: 2026
Страниц: 256
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

This book addresses social and complex network analysis challenges, exploring social network structures, dynamic networks, and hierarchical communities. Emphasizing network structure heterogeneity, including directionality and dynamics, it covers community structure concepts like distinctness, overlap, and hierarchy. The book aims to present challenges and innovative solutions in community structure detection, incorporating diversity into problem-solving. Furthermore, it explores the applications of identified community structures within network analysis, offering insights into social network dynamics. The book is organized into three sections. The first section focuses on the ­foundational elements of social network analysis, exploring dataset characteristics, challenges in data representation, and comparisons of open dataset repositories. The second section focuses on methodologies and techniques for community detection. It delves into graph clustering, semi-supervised learning, and Deep Learning approaches, providing readers with an in-depth understanding of structure and dynamics. Python is a popular programming language for community detection because of its wide variety of libraries, simple syntax, and ease of integration with other computer languages.

Название: Mathematics and Applications of Computer Graphics
Автор: Jun Mitani, Kenshi Takayama, Yoshinori Dobashi, Tomohiko Mukai, Makoto Fujisawa
Издательство: Springer
Год: 2025
Страниц: 203
Язык: английский
Формат: pdf
Размер: 13.0 MB

This book equips readers with the fundamentals of 3DCG that support the advanced technologies. The content of this book is divided into four categories: modeling, rendering, character animation, and physical simulation, and each is explained in a separate chapter. In simpler terms, these four technologies can be described as creating shapes, creating images, creating motion, and reproducing the behavior of the natural world. The "Modeling" chapter describes the theory behind describing the shape of an object using surface meshes and then editing and manipulating them. The chapter "Rendering" focuses on the calculation of the luminance of an object's surface, and describes methods for calculating global illumination and generating fast images using precomputation to produce realistic images. Physical phenomena such as light scattering, which is necessary to improve realism, are also explained.

Название: Ultimate Bitbucket for Automating Workflows: Master Git, Automate Git Workflows, Secure Code Quality, and Supercharge CI/CD with Bitbucket Cloud and Smart Custom App Extensibility
Автор: Orange Editorial Board
Издательство: Orange Education Pvt Ltd, AVA
Год: 2025
Страниц: 255
Язык: английский
Формат: epub (true)
Размер: 85.7 MB

Transform Your Software Delivery with Bitbucket Cloud Automation. Bitbucket Cloud is at the heart of modern DevOps—powering secure, scalable, and collaborative development for teams worldwide. Ultimate Bitbucket for Automating Workflows is your hands-on guide to mastering this essential platform and transforming your software delivery lifecycle from manual to automated, from fragmented to fully integrated. Through ten practical chapters, this book takes you on a complete journey—from learning Git basics and managing pull requests to automating CI/CD pipelines, integrating Jira for seamless project tracking, and enforcing security with AI-assisted code reviews. You'll dive into advanced features like Bitbucket Pipelines, deployment strategies with self-hosted runners, working with APIs, and extending your workflows using Atlassian Forge. Whether you're a beginner trying to get Git-savvy or a DevOps engineer seeking to scale automation, this book equips you with real-world solutions and best practices to lead high-performing development teams.

Название: NoOps: How AI Agents Are Reinventing DevOps and Software
Автор: Roman Vorel
Издательство: Apress
Год: 2025
Страниц: 251
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Traditional DevOps is struggling with new challenges in today's fast-changing software world. With the rise of microservices, cloud-based systems, and AI-driven automation, managing software has become increasingly difficult. Teams often deal with too many tools, repetitive manual tasks, and slow innovation. NoOps provides a clear guide to using AI to streamline DevOps and reduce manual work. The book starts by explaining how DevOps has evolved and why software development has become so fragmented. It highlights the importance of standardization as the first step toward NoOps. Readers will learn how AI can improve coding, testing, infrastructure management, and software deployment. It covers AI-powered development tools, automated testing, self-managing infrastructure, and intelligent AI agents that handle deployments and fix problems automatically. Real-world case studies show how companies are already using AI to transform their DevOps processes. Beyond automation, NoOps also explores how AI will change job roles, requiring new skills and shifting how teams work. It discusses ethical concerns, team dynamics, and the future of AI-driven software development. Technical Executives, DevOps Engineers & SREs looking to automate testing, monitoring, infrastructure, and CI/CD. Software Developers who want to write better code faster using AI-driven development tools.

Название: Container Security: Fundamental Technology Concepts that Protect Containerized Applications, 2nd Edition (Early Release)
Автор: Liz Rice
Издательство: O’Reilly Media, Inc.
Год: 2025-06-27
Страниц: 122
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

As containerized and cloud native applications become foundational to modern software infrastructure, the need for a deep, conceptual understanding of their security implications has never been more urgent. Container Security, second edition, offers a rigorous yet practical examination of the technologies that underpin container platforms—equipping developers, operations professionals, and security practitioners with the mental models needed to evaluate risk and enhance resilience. Written by Liz Rice, a recognized authority in cloud native security, this updated edition builds on the foundational principles from the first edition while incorporating today's evolving threat landscape, modern tooling, and advancements in platforms like Kubernetes and Linux. Readers will gain a firm grasp of the architectural components behind containers and the Linux primitives that support them, fostering a systems-level understanding of both vulnerabilities and mitigation strategies.

Название: MATLAB External Interfaces (R2025a)
Автор: MathWorks
Издательство: The MathWorks, Inc.
Год: March 2025
Страниц: 1182
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

MATLAB provides interfaces to external routines written in other programming languages, data that needs to be shared with external routines, clients or servers communicating via Component Object Model (COM) or Dynamic Data Exchange (DDE), and peripheral devices that communicate directly with MATLAB. Much of this interface capability was formerly referred to under the title of the MATLAB Application Program Interface, or API. This book introduces the external interfaces that are available with MATLAB. It also contains numerous C and Fortran examples that highlight this functionality. MATLAB provides these features to help you integrate C/C++ algorithms into your MATLAB applications. A C/C++ shared library interface is a collection of functions dynamically loaded by an application at run time. Using a shared library has the advantage of packaging multiple library functions into one interface. You can access all standard Python library content from MATLAB. MATLAB also provides a way to run Python code in the Python interpreter directly from MATLAB.

Название: Mastering AI: From Algorithms to Applications: AI Models Built Using KNIME Data Analytics
Автор: Hari C Krishna, Nitin Talreja
Издательство: Independently published
Год: November 18, 2024
Страниц: 623
Язык: английский
Формат: epub
Размер: 24.1 MB

Unlock the Power of Artificial Intelligence. In a world where AI is rapidly transforming industries and reshaping our daily lives, understanding the fundamentals of Artificial Intelligence (AI) has never been more important. Mastering AI is your essential guide to navigating the world of AI—from its foundational concepts to its cutting-edge applications. This book breaks down complex topics like Machine Learning, neural networks, and natural language processing (NLP) into clear, accessible language. Whether you’re a business leader looking to leverage AI for growth, a tech enthusiast, or a curious learner. KNIME, or Konstanz Information Miner, is a free, open-source platform for Data Science that allows users to perform data analytics, reporting, and integration. It is designed to be easy to learn, but still capable of performing complex analyses. KNIME integrates various components for Machine Learning and data mining through its modular data pipelining "Building Blocks of Analytics" concept. KNIME is written in Java and based on Eclipse.