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Эффективный Spark. Масштабирование и оптимизация (2019)

Если у вас уже есть положительный опыт использования Spark для решения небольших задач, но вы по-прежнему ломаете голову — где та самая непревзойденная производительность Spark, позволяющая перемалывать колоссальные объемы данных, — то эта книга для вас. Она расскажет, как эффективно использовать Spark для укрощения больших данных и вырасти из новичка в специалиста. Идеально подходит для программистов, инженеров по работе с данными, системных администраторов, обслуживающих крупномасштабные приложения.

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Паттерны проектирования для C# и платформы .NET Core (2021)

Паттерны проектирования — удобный прием программирования для решения рутинных задач разработки ПО. Грамотное использование паттернов позволяет добиться соответствия любым требованиям и снизить расходы. В этой книге описаны эффективные способы применения паттернов проектирования с учетом специфики языка C# и платформы .NET Core.

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gRPC: запуск и эксплуатация облачных приложений (2021)

Год от года обретая новых сторонников, облачно-ориентированные и микросервисные архитектуры стали основой современного IT. Такой переход значительно повлиял и на структуру коммуникаций. Теперь приложения часто подключаются друг к другу по сети, и это происходит с помощью технологий межпроцессной коммуникации. Одной из наиболее популярных и эффективных технологий такого рода является gRPC, но информации о ней не хватает. Так было, пока не вышла эта книга!

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Эволюционная архитектура. Поддержка непрерывных изменений (2019)

Пора по-новому взглянуть на постулаты, остававшиеся неизменными на протяжении многих лет. Динамично меняющийся мир диктует свои правила, в том числе и в компьютерной архитектуре. Происходящие изменения требуют новых подходов, заставляют жесткие системы становиться гибкими и подстраиваться под новые условия. Возможно ли долгосрочное планирование, если все непрерывно меняется?

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Applied Natural Language Processing with Python (2018)

Learn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and natural language generation. Along the way, you will learn the skills to implement these methods in larger infrastructures to replace existing code or create new algorithms.

Applied Natural Language Processing with Python starts with reviewing the necessary machine learning concepts before moving onto discussing various NLP problems. After reading this book, you will have the skills to apply these concepts in your own professional environment.

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Classic Computer Science Problems in Java (2020)

Sharpen your coding skills by exploring established computer science problems! Classic Computer Science Problems in Java challenges you with time-tested scenarios and algorithms. You’ll work through a series of exercises based in computer science fundamentals that are designed to improve your software development abilities, improve your understanding of artificial intelligence, and even prepare you to ace an interview.

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JavaScript Data Structures and Algorithms (2019)

Combines clear explanations of data structure and algorithm theory with practical code samples, examples and exercises, all specifically relevant to JavaScript

Provides background information on object-oriented programming and native JavaScript concepts to help understand how everything fits together

Illustrates how these theoretical computer science concepts ties back to practical applications in software engineering.

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Hands-On System Programming with Linux (2018)

The Linux OS and its embedded and server applications are critical components of today’s software infrastructure in a decentralized, networked universe. The industry's demand for proficient Linux developers is only rising with time. Hands-On System Programming with Linux gives you a solid theoretical base and practical industry-relevant descriptions, and covers the Linux system programming domain. It delves into the art and science of Linux application programming— system architecture, process memory and management, signaling, timers, pthreads, and file IO.

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Modernizing Enterprise Java (2022)

While containers, microservices, and distributed systems dominate discussions in the tech world, the majority of applications in use today still run monolithic architectures that follow traditional development processes. This practical book helps developers examine long-established Java-based models and demonstrates how to bring these monolithic applications successfully into the future.

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Essential TypeScript (2019)

Learn the essentials and more of TypeScript, a popular superset of the JavaScript language that adds support for static typing. TypeScript combines the typing features of C# or Java with the flexibility of JavaScript, reducing typing errors and providing an easier path to JavaScript development.
Author Adam Freeman explains how to get the most from TypeScript 4 in this second edition of his best-selling book.

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AWS Certified Solutions Architect (2019)

The AWS Certified Solutions Architect Study Guide: Associate (SAA-C01) Exam is your complete and fully updated resource to the AWS Solutions Architect – Associate certification. This invaluable Sybex study guide covers all relevant aspects of the AWS Solutions Architect job role, including mapping multi-tier architectures to AWS services, loose coupling and stateless systems, applying AWS security features, deploying and managing services, designing large scale distributed systems, and many more.

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Ontologies with Python (2021)

Use ontologies in Python, with the Owlready2 module developed for ontology-oriented programming. You will start with an introduction and refresher on Python and OWL ontologies. Then, you will dive straight into how to access, create, and modify ontologies in Python. Next, you will move on to an overview of semantic constructs and class properties followed by how to perform automatic reasoning. You will also learn about annotations, multilingual texts, and how to add Python methods to OWL classes and ontologies. Using medical terminologies as well as direct access to RDF triples is also covered.

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Tiny Python Projects (2020)

Python is an excellent, general-purpose programming language. You can write a program to send secret messages to your friends or to play chess. There are Python modules to help you wrangle complex scientific data, explore machine learning algorithms, and generate publication-ready graphics. Many college-level computer science programs have moved away from languages like C and Java to Python as their introductory language because Python is a relatively easy language to learn. We can use Python to study fundamental and powerful ideas from computer science. As I show you ideas like regular expressions and higher-order functions, I hope to encourage you to study further.

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Learning MySQL (2021)

Database management systems are part of the core of many companies. Even if a business is not technology-focused, it needs to store, access, and manipulate data in a fast, secure, and reliable way. Because of the COVID-19 pandemic, many areas that had traditionally resisted digital transformation, like the judiciary systems in many countries, are now being integrated through technology due to travel and meeting restrictions, and online shopping and working from home are more popular than ever before.

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Clean Code in C# (2020)

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. This book is aimed at computer programmers with a good grasp of the C# programming language who would like guidance on identifying problematic code and writing clean code in C#. Primarily, the reader base will range from graduate to mid-level programmers, but even senior programmers may find this book valuable.

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