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  • Добавил: umkaS
  • Дата: 16-03-2023, 07:20
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Название:Node.js. Путеводитель по технологии
Автор: Кирилл Сухов
Издательство: ДMK
Год: 2015
Формат: PDF
Размер: 17,7 Мб

За последние несколько лет платформа Node.js стремительно повысила свой статус от экспериментальной технологии до основы для серьезных промышленных проектов. Тысячи программистов оценили возможность построения достаточно сложных, высоко нагруженных приложений на простом, элегантном и, самое главное, легковесном механизме. Все эти скучные слова правдивы, но на самом деле не это главное. Прежде всего Node.js – это совершенно увлекательная и захватывающая вещь, с которой по-настоящему интересно работать! Автор предлагает обзорную экскурсию по этой технологии, которая точно не будет скучной, ведь Node.js – это здорово!
  • Добавил: literator
  • Дата: 15-03-2023, 21:01
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Mastering C++ Network Automation: Run Automation across Configuration Management, Container Orchestration, KubernetesНазвание: Mastering C++ Network Automation: Run Automation across Configuration Management, Container Orchestration, Kubernetes, and Cloud Networking
Автор: Justin Barbara
Издательство: GitforGits
Год: 2023
Страниц: 299
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.2 MB

This book is an in-depth guide for network administrators, cloud architects, and container and Kubernetes administrators who want to learn how to automate networking tasks in C++. From setting up a network automation environment to automating configuration management and working with containers and container orchestration tools such as Kubernetes, the book covers a wide range of topics. The first section of the book covers the fundamentals of automation scripting and testing. Readers will learn how to create successful automation scripts and test them to ensure they perform properly. The next section describes how to set up a network automation environment. This includes configuring network devices, servers, and other components required for automation. The readers will learn about the various protocols as well as how to use Ansible to automate the configuration management of these devices. It covers containerization and container orchestration systems such as Docker and Kubernetes. Readers will learn how to use tools such as Docker Compose and Kubernetes to automate workload management and deployment. The final section of the book focuses on cloud networking. The readers will learn how to handle network resources in cloud systems such as AWS, Google Cloud, and Azure.
  • Добавил: literator
  • Дата: 15-03-2023, 20:46
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Mastering Go Network Automation: Automating Networks, Container Orchestration, Kubernetes with Puppet, Vegeta and Apache JMeterНазвание: Mastering Go Network Automation: Automating Networks, Container Orchestration, Kubernetes with Puppet, Vegeta and Apache JMeter
Автор: Ian Taylor
Издательство: GitforGits
Год: 2023
Страниц: 295
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.13 MB

"Mastering Go Network Administration" is a structured beginning for network administrators looking to improve network efficiency, scalability, and security. This book provides a one-stop solution for all of your network administration needs, with comprehensive coverage of automation, security, containerization, monitoring, and performance testing. Beginning with the fundamentals of creating a network automation lab with the EVENG network simulator and the Go programming language, readers will learn the step-by-step process of installing EVE-NG, followed by the importance of service mesh in automation and how it can simplify network operations. The book delves deeply into critical topics such as deploying ingress controllers and implementing service mesh with Linkerd. Readers will learn about container-native storage, container storage management with Docker, and automated SSL certificates, firewall configuration, and network policies. Monitoring and performance tuning are also covered in the book, including how to monitor container performance and automatically roll out updates. The book covers a series of performance testing strategies like load testing, stress testing, and scalability testing. Go, also known as Golang, is a programming language that was developed by Google in 2007. It is an open-source language that was designed with the goal of simplifying the process of developing high-performance network applications. The language's syntax is simple and easy to learn, and it is known for its efficiency, scalability, and reliability.
  • Добавил: literator
  • Дата: 15-03-2023, 18:09
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Python and MySQL for BeginnerНазвание: Python and MySQL for Beginner
Автор: Fatimah Rahmat, Mohamad Iqbal Hakim Che Omar, Nurul Shakirah Mohd Zawawi
Издательство: Politeknik Mersing
Год: 2023
Язык: английский
Формат: pdf (true)
Размер: 36.1 MB

The need to share knowledge and experience on how the Python programming language could have a positive impact on the learning process led to the creation of this book focuses on the installation process, use of MySQL for database connections, and fundamental Python language concepts. This book offers helpful resources, advice, and examples, especially for students and anybody else interested in learning the Python programming language. The Create, Read, Update, and Delete (CRUD) component of an application employing Python scripts using MySQL is also demonstrated in this book's sample examples. This book is intended to assist readers in achieving their goals.
  • Добавил: umkaS
  • Дата: 15-03-2023, 12:16
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Название: Основы информатики
Автор: Ляхович В.Ф.
Издательство: КноРус
Год: 2016
Страниц: 348
Формат: djvu
Размер: 48 mb

Излагается процесс разработки основных видов алгоритмов и программ на базе оригинальной общей методики построения алгоритмов, не имеющей аналогов в России. Общая методика построения алгоритмов позволяет быстро осваивать различные языки программирования, в том числе и высокого уровня. Отражены принципы построения и развития компьютерных сетей.
  • Добавил: literator
  • Дата: 15-03-2023, 05:37
  • Комментариев: 0
Mathematical Foundations of Data ScienceНазвание: Mathematical Foundations of Data Science
Автор: Tomas Hrycej, Bernhard Bermeitinger, Matthias Cetto, Siegfried Handschuh
Издательство: Springer
Серия: Texts in Computer Science
Год: 2023
Страниц: 219
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This textbook aims to point out the most important principles of data analysis from the mathematical point of view. Specifically, it selected these questions for exploring: Which are the principles necessary to understand the implications of an application, and which are necessary to understand the conditions for the success of methods used? Theory is presented only to the degree necessary to apply it properly, striving for the balance between excessive complexity and oversimplification. Its primary focus is on principles crucial for application success. Although this core textbook aims directly at students of Computer Science and/or Data Science, it will be of real appeal, too, to researchers in the field who want to gain a proper understanding of the mathematical foundations “beyond” the sole computing experience. This book is appropriate for advanced undergraduate or master’s students in Computer Science, Artificial Intelligence, statistics or related quantitative subjects, as well as people from other disciplines who want to solve Data Science tasks.
  • Добавил: literator
  • Дата: 15-03-2023, 05:01
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Essentials of Compilation: An Incremental Approach in RacketНазвание: Essentials of Compilation: An Incremental Approach in Racket
Автор: Jeremy G. Siek
Издательство: The MIT Press
Год: 2023
Страниц: 240
Язык: английский
Формат: epub (true)
Размер: 16.6 MB

A hands-on approach to understanding and building compilers. Compilers are notoriously some of the most difficult programs to teach and understand. Most books about compilers dedicate one chapter to each progressive stage, a structure that hides how language features motivate design choices. By contrast, this innovative textbook provides an incremental approach that allows students to write every single line of code themselves. Essentials of Compilation guides the reader in constructing their own compiler for a small but powerful programming language, adding complex language features as the book progresses. Jeremy Siek explains the essential concepts, algorithms, and data structures that underlie modern compilers and lays the groundwork for future study of advanced topics. Already in wide use by students and professionals alike, this rigorous but accessible book invites readers to learn by doing. We use the Racket language both for the implementation of the compiler and for the input language, so the reader should be proficient with Racket or Scheme.
  • Добавил: literator
  • Дата: 15-03-2023, 04:48
  • Комментариев: 0
Computational Intelligence for Cybersecurity Management and ApplicationsНазвание: Computational Intelligence for Cybersecurity Management and Applications
Автор: Yassine Maleh, Mamoun Alazab, Soufyane Mounir
Издательство: CRC Press
Год: 2023
Страниц: 249
Язык: английский
Формат: pdf (true)
Размер: 11.4 MB

As cyberattacks continue to grow in complexity and number, Computational Intelligence is helping under-resourced security analysts stay one step ahead of threats. Drawing on threat intelligence from millions of studies, blogs, and news articles, Computational Intelligence techniques such as Machine Learning and automatic natural language processing (NLP) quickly provide the means to identify real threats and dramatically reduce response times. Computational Intelligence for Cybersecurity Management and Applications collects and reports on recent high-quality research addressing different cybersecurity challenges. This book discusses the current state of the art and practical solutions for the following cybersecurity and privacy issues using Artificial Intelligence techniques and cutting-edge technology. Readers interested in learning more about Computational Intelligence techniques for cybersecurity applications and management will find this book invaluable. They will get insight into potential avenues for future study on these topics and be able to prioritize their efforts better.
  • Добавил: literator
  • Дата: 15-03-2023, 04:14
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Professional CMake: A Practical Guide, 14th EditionНазвание: Professional CMake: A Practical Guide, 14th Edition
Автор: Craig Scott
Издательство: Crascit Pty Ltd
Год: 2023
Страниц: 664
Язык: английский
Формат: pdf (true)
Размер: 10.06 MB

Professional CMake: A Practical Guide is the handbook for every CMake user, from beginner to seasoned veteran. It contains hundreds of pages of real-world advice, best practices and insights gained from production projects and interaction with the CMake community. Topics cover the complete software pipeline, from the very initial setup of a project through to testing, packaging and integration with other projects. Important more advanced topics like improving build performance are also covered. Each chapter focuses on a particular theme or fundamental concept. Read them in order as a structured CMake tutorial, or jump to specific chapters to focus on a particular topic or solve a specific problem. Every chapter ends with a Recommended Practices section highlighting the most important points.
  • Добавил: literator
  • Дата: 14-03-2023, 21:18
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Metaheuristics for Machine Learning: New Advances and ToolsНазвание: Metaheuristics for Machine Learning: New Advances and Tools
Автор: Mansour Eddaly, Bassem Jarboui, Patrick Siarry
Издательство: Springer
Серия: Computational Intelligence Methods and Applications
Год: 2023
Страниц: 231
Язык: английский
Формат: pdf (true), epub
Размер: 16.6 MB

Using metaheuristics to enhance Machine Learning techniques has become trendy and has achieved major successes in both supervised (classification and regression) and unsupervised (clustering and rule mining) problems. Furthermore, automatically generating programs via metaheuristics, as a form of evolutionary computation and swarm intelligence, has now gained widespread popularity. This book investigates different ways of integrating metaheuristics into Machine Learning techniques, from both theoretical and practical standpoints. It explores how metaheuristics can be adapted in order to enhance Machine Learning tools and presents an overview of the main metaheuristic programming methods. Moreover, real-world applications are provided for illustration, e.g., in clustering, Big Data, machine health monitoring, underwater sonar targets, and banking.