Название: Troubleshooting Java: Read, debug, and optimize JVM applications (MEAP v8)
Автор: Laurentiu Spilca
Издательство: Manning Publications
Год: 2022
Страниц: 469
Язык: английский
Формат: pdf
Размер: 26.8 MB

Effectively reading and understanding existing code is a developer’s superpower. In this book, you’ll master techniques for code profiling, advanced debugging, and log evaluation to find and fix bugs and performance problems. Troubleshooting Java: Read, debug, and optimize JVM applications teaches code investigation techniques that will help you understand how Java apps work, optimize them, and fix the bugs that break them. You’ll go from the basics of debugging to advanced methods for locating problems in microservices architectures. Each new technique is explained with lively illustrations and engaging real-world examples. In this unique guide, you’ll learn techniques like resolving deadlocks by examining thread dumps and locating memory leaks by inspecting the heap that will radically improve your efficiency when working with existing code in JVM languages like Java, Scala, and Kotlin.

Название: Моделирование на UML: теория, практика
Автор: Новиков Ф.А., Иванов Д.
Издательство: СПб.: Профессиональная литература
Год: 2010
Cтраниц: 640
Формат: djvu
Размер: 13 мб

Цель курса: научить слушателей практическому использованию унифицированного языка моделирования UML. Аудитория: курс предназначен для действующих бизнес-аналитиков, системных архитекторов и продвинутых разработчиков прикладного программного обеспечения. По окончании курса слушатели смогут: Понимать и составлять любые диаграммы UML и родственных языков моделирования; Составлять информационные модели предметных областей; Эффективно определять функциональные и нефункциональные требования к программно-аппаратным системам;

Название: Asynchronous Programming with SwiftUI and Combine: Functional Programming to Build UIs on Apple Platforms
Автор: Peter Friese
Издательство: Apress
Год: 2023
Страниц: 447
Язык: английский
Формат: epub (true)
Размер: 24.4 MB

Develop UI-heavy applications more easily, faster, and error-free. Based on several enhancements to the Swift language, SwiftUI takes a declarative approach to building UIs. Instead of imperatively coding the UI, this book will show you how to describe how you want your UI to look. SwiftUI treats the UI as a function of its state, thereby making managing your app’s state a lot easier. Change the underlying data model to redraw all parts of the UI that are connected to that particular slice of data. Likewise, easily update the underlying data model from the UI elements your data model is connected to. Combine is Apple’s Functional Reactive Programming framework. It complements SwiftUI and other frameworks, such as the networking APIs, in a natural way. Using Combine, you can subscribe to events and describe data processing in a way that is free of side effects. This allows for an easier implementation of event-driven applications. Using SwiftUI and Combine build more error-free apps in a shorter amount of time, targeting all of Apple’s platforms (iOS, iPadOS, watchOS, macOS, tvOS) with little to no overhead.

Название: Taming Thymeleaf: Practical guide to building a webapplication with Spring Boot and Thymeleaf
Автор: Wim Deblauwe
Издательство: Leanpub
Год: 2022-10-19 (Version 2.0.2)
Страниц: 410
Язык: английский
Формат: pdf (true)
Размер: 23.5 MB

Learn to build a production-grade web application with Spring Boot and Thymeleaf with this book. Taming Thymeleaf will learn you about writing web applications with Spring Boot and Thymeleaf in no-time. The book teaches you step-by-step how to get started with those technologies and build a fully fledged web application including security, validation, internationalization, testing. Thymeleaf is an amazing technology for building server-side HTML using the Java eco-system. Combined with Spring Boot, it is really a killer combo for a productive development environment. Learn how to structure your code so your application can evolve for years to come. As HTML will always be there, you can do this without having to re-write your frontend every six months for the latest jаvascript framework.

Название: SurviveJS - Webpack 5 : From apprentice to master
Автор: Juho Vepsalainen, Tobias Koppers, Jesus Rodriguez Rodriguez
Издательство: Leanpub
Год: 2022-10-26
Страниц: 301
Язык: английский
Формат: pdf (true), mobi, epub + Extras
Размер: 10.2 MB

Webpack, a module bundler, is a powerful tool that helps you to develop complex web applications. "SurviveJS - Webpack" is meant for beginner to intermediate users of the tool that want to understand webpack better. Web browsers consume HTML, CSS, jаvascript, and multimedia files. As a project grows, tracking all of these files and adapting them to different targets (e.g. browsers) becomes too complicated to manage without help. Webpack addresses these problems. Managing complexity is one of the fundamental issues of web development, and solving this problem well helps significantly. "SurviveJS - Webpack 5" has been built around a tutorial during which you develop a complex configuration while covering different facets of Webpack. The 34 short chapters and six appendices work as a reference you can use while developing your web applications. The book has been written with Webpack 5 in mind. Even though the book has been designed around Webpack, many of the techniques covered go beyond it. You will learn to improve the quality of your code while becoming aware of optimization techniques that help you to deliver more performant web applications.

Название: Quantum Computers: Theory and Algorithms
Автор: Belal Ehsan Baaquie, Leong-Chuan Kwek
Издательство: Springer
Год: 2023
Страниц: 297
Язык: английский
Формат: pdf (true), epub
Размер: 22.7 MB

This book presents various theories and algorithms to create a quantum computer. The concept of the classical and quantum computers, and the concept of circuits and gates are reviewed. The example of the Deutsch and the Deutsch-Josca algorithm is discussed to illustrate some key features of quantum computing. The Grover algorithm, considered to be of major milestone of the subject, is discussed in detail to exemplify the techniques used in computer algorithms. The role of quantum superposition (also called quantum parallelism) and of quantum entanglement is discussed in order to understand the key advantages of a quantum over a classical computer.

Название: AI-Powered Search (MEAP V14)
Автор: Trey Grainger, Doug Turnbull, Max Irwin
Издательство: Manning Publications
Год: 2022
Страниц: 546
Язык: английский
Формат: pdf, epub
Размер: 75.7 MB

AI-Powered Search teaches you the latest Machine Learning techniques to create search engines that continuously learn from your users and your content, to drive more domain-aware and intelligent search. As you can imagine given that goal, this is not an “introduction to search” book. In order to get the most out of this book, you should ideally already be familiar with the core capabilities of modern search engines (inverted indices, relevance ranking, faceting, query parsing, text analysis, and so on) through experience with a technology like Apache Solr, Elasticsearch/OpenSearch, Vespa, or Apache Lucene. If you need to come up to speed quickly, Solr in Action (which I also wrote) provides you with all the search background necessary to dive head-first into AI-Powered Search. Additionally, the code examples in this book are written in Python (and delivered in pre-configured Jupyter notebooks) to appeal both to engineers and data scientists. You don’t need to be an expert in Python, but you should have some programming experience to be able to read and understand the examples.

Название: Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python (Final Release)
Автор: Mike X Cohen
Издательство: O’Reilly Media, Inc.
Год: 2022
Страниц: 329
Язык: английский
Формат: pdf (true), epub (true)
Размер: 24.3 MB

Если вы хотите работать в любой вычислительной или технической области, вам необходимо понимать линейную алгебру. Как изучение матриц и операций над ними, линейная алгебра является математической основой почти всех алгоритмов и анализов, реализованных в компьютерах. Но то, как она представлена в учебниках десятилетней давности, значительно отличается от того, как профессионалы используют линейную алгебру сегодня для решения реальных современных задач. Это практическое руководство от Майка Икс Коэна обучает основным понятиям линейной алгебры, реализованным в Python, включая то, как они используются в науке о данных, машинном обучении (ML), глубоком обучении (DL), вычислительном моделировании и приложениях по обработке биомедицинских данных. Вооружившись знаниями из этой книги, вы сможете понять, реализовать и адаптировать огромное количество современных методов и алгоритмов анализа.

Название: Build Your Microservices: Deploying tracker, Mongo service, Evolutionary patterns leveraging organizational data, Management cluster
Автор: Aharen-san
Издательство: Independently published
Год: 2022
Страниц: 199
Язык: английский
Формат: pdf, epub
Размер: 23.8 MB

We're going to have a look at orchestration systems and we're going to see what they can do for you. And this course is concentrating on Kubernetes, which is just one example of a container orchestration system. I guess the first thing to learn is I couldn't fit the phrase Orchestration with Kubernetes onto this title slide, so you'll find it's commonly abbreviated to K8S, with eight just being the number of letters that we've skipped. Anyway, it stands for Kubernetes and we're looking here at orchestration systems. Containers have become a very popular way of deploying systems in the last few years, and by far the most popular containerization system is Docker.

Название: Causal Machine Learning (MEAP v3)
Автор: Robert Osazuwa Ness
Издательство: Manning Publications
Год: 2022
Страниц: 187
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

How do you know what might have happened, had you done things differently? Causal machine learning gives you the insight you need to make predictions and control outcomes based on causal relationships instead of pure correlation, so you can make precise and timely interventions. Causal machine learning is a major milestone in machine learning, allowing AI models to make accurate predictions based on causes rather than just correlations. Causal techniques help you make models that are more robust, explainable, and fair, and have a wide range of applications, from improving recommendation engines to perfecting self-driving cars. Causal Machine Learning teaches you how to build machine learning and deep learning models that implement causal reasoning. New techniques are demonstrated with example models for solving industry-relevant problems. You’ll learn about causality for recommendations; causal modeling of online conversions; and uplift, attribution, and churn modeling. Each technique is tested against a common set of problems, data, and Python libraries, so you can compare and contrast which will work best for you.