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Formal Methods
Formal Methods

Although formal analysis programming techniques may be quite old, the introduction of formal methods only dates from the 1980s. These techniques enable us to analyze the behavior of a software application, described in a programming language. It took until the end of the 1990s before formal methods or the B method could be implemented in industrial applications or be usable in an industrial setting. Current literature only gives students and researchers very general overviews of formal methods. The purpose of this book is to present feedback from experience on the use of “formal methods” (such as proof and model-checking) in industrial examples within the transportation domain. ...
Learning Kotlin by building Android Applications
Learning Kotlin by building Android Applications

Today Kotlin is an official programming language for Android development and is widely adopted. Kotlin is expressive, concise, and powerful. It also ensures seamless interoperability with existing Android languages like JAVA and C++, which means that it's even easier for developers to use. This book adopts a project-style approach, where we focus on teaching Android development by building three different Android Application: a Tic-Tac-Toe application, a location- based alarm and a To-Do list application. The book begins by giving you a strong grasp of the Kotlin language and its APIs as a preliminary to building stunning applications for Android. You'll learn to set up an environment and as you progress through the chapters and the building of the different applications, the difficulty level will steadily grow. The book also introduces you to the Android Studio IDE, which plays an integral role in Android Development. It covers Kotlin's basic programming concepts such as func ...
Mastering High Performance with Kotlin
Mastering High Performance with Kotlin

The ease with which we write applications has been increasing, but with it comes the need to address their performance. A balancing act between easily implementing complex applications and keeping their performance optimal is a present-day requirement In this book, we explore how to achieve this crucial balance, while developing and deploying applications with Kotlin. The book starts by analyzing various Kotlin specifcations to identify those that have a potentially adverse effect on performance. Then, we move on to monitor techniques that enable us to identify performance bottlenecks and optimize performance metrics. Next, we look at techniques that help to us achieve high performance: memory optimization, concurrency, multi threading, scaling, and caching. We also look at fault tolerance solutions and the importance of logging. We'll also cover best practices of Kotlin programming that will help you to improve the quality of your code base. By the end of the book, you will have ...
Hands-On Concurrency with Rust
Hands-On Concurrency with Rust

Most programming languages can really complicate things, especially with regard to unsafe memory access. The burden on you, the programmer, lies across two domains: understanding the modern machine and your language's pain-points. This book will teach you to how to manage program performance on modern machines and build fast, memory-safe, and concurrent software in Rust. It starts with the fundamentals of Rust and discusses machine architecture concepts. You will be taken through ways to measure and improve the performance of Rust code systematically and how to write collections with confidence. You will learn about the Sync and Send traits applied to threads, and coordinate thread execution with locks, atomic primitives, data-parallelism, and more. The book will show you how to efficiently embed Rust in C++ code and explore the functionalities of various crates for multithreaded applications. It explores implementations in depth. You will know how a mutex works and build several yo ...
Angular 6 for Enterprise-Ready Web Applications
Angular 6 for Enterprise-Ready Web Applications

Angular 6 for Enterprise-Ready Web Applications follows a hands-on and minimalist approach demonstrating how to design and architect high quality apps. The first part of the book is about mastering the Angular platform using foundational technologies. You will use the Kanban method to focus on value delivery, communicate design ideas with mock-up tools and build great looking apps with Angular Material. You will become comfortable using CLI tools, understand reactive programming with RxJS, and deploy to the cloud using Docker. The second part of the book will introduce you to the router-first architecture, a seven-step approach to designing and developing mid-to-large line-of-business applications, along with popular recipes. You will learn how to design a solid authentication and authorization experience; explore unit testing, early integration with backend APIs using Swagger and continuous integration using CircleCI. In the concluding chapters, you will provision a highly avail ...
Mastering Spring Boot 2.0
Mastering Spring Boot 2.0

Spring is one of the best frameworks on the market for developing web, enterprise, and cloud ready software. Spring Boot simplifies the building of complex software dramatically by reducing the amount of boilerplate code, and by providing production-ready features and a simple deployment model. This book will address the challenges related to power that come with Spring Boot's great configurability and flexibility. You will understand how Spring Boot configuration works under the hood, how to overwrite default configurations, and how to use advanced techniques to prepare Spring Boot applications to work in production. This book will also introduce readers to a relatively new topic in the Spring ecosystem - cloud native patterns, reactive programming, and applications. Get up to speed with microservices with Spring Boot and Spring Cloud. Each chapter aims to solve a specific problem or teach you a useful skillset. By the end of this book, you will be proficient in building and deploy ...
Practical Guide to Salesforce Communities
Practical Guide to Salesforce Communities

Whether you are brand new to the world of Salesforce communities or you are looking to take your Community Cloud knowledge to the next level, this detailed guide will help you to build and manage a Salesforce community by leveraging the declarative power of the platform with clicks, not code. Each Salesforce community is a part of a widespread ecosystem, with thousands of communities and millions of users active today on Community Cloud. Through valuable social and business tools, this online platform enables companies to empower and equip their customers, partners, and employees in new, powerful ways. In this book, Philip Weinmeister, a Salesforce MVP and the first-ever recipient of the "Community Cloud MVP" Trailblazer award, leads you through the ins and outs of Salesforce communities and provides you with an array of best practices to deliver top-notch business portals on the Salesforce platform. Practical Guide to Salesforce Communities is the first book to comprehensivel ...
Design Patterns in C#
Design Patterns in C#

Get hands-on experience with each Gang of Four design pattern using C#. For each of the patterns, you'll see at least one real-world scenario, a coding example, and a complete implementation including output. In the first part of Design Patterns in C#, you will cover the 23 Gang of Four (GoF) design patterns, before moving onto some alternative design patterns, including the Simple Factory Pattern, the Null Object Pattern, and the MVC Pattern. The final part winds up with a conclusion and criticisms of design patterns with chapters on anti-patterns and memory leaks. By working through easy-to-follow examples, you will understand the concepts in depth and have a collection of programs to port over to your own projects. Along the way, the author discusses the different creational, structural, and behavioral patterns and why such classifications are useful. In each of these chapters, there is a Q&A session that clears up any doubts and covers the pros and cons of each of these patte ...
Practical Enterprise Data Lake Insights
Practical Enterprise Data Lake Insights

Use this practical guide to successfully handle the challenges encountered when designing an enterprise data lake and learn industry best practices to resolve issues. When designing an enterprise data lake you often hit a roadblock when you must leave the comfort of the relational world and learn the nuances of handling non-relational data. Starting from sourcing data into the Hadoop ecosystem, you will go through stages that can bring up tough questions such as data processing, data querying, and security. Concepts such as change data capture and data streaming are covered. The book takes an end-to-end solution approach in a data lake environment that includes data security, high availability, data processing, data streaming, and more. Each chapter includes application of a concept, code snippets, and use case demonstrations to provide you with a practical approach. You will learn the concept, scope, application, and starting point. Get to know data lake architecture and desi ...
Deep Learning for Natural Language Processing
Deep Learning for Natural Language Processing

Discover the concepts of deep learning used for natural language processing (NLP), with full-fledged examples of neural network models such as recurrent neural networks, long short-term memory networks, and sequence-2-sequence models. You'll start by covering the mathematical prerequisites and the fundamentals of deep learning and NLP with practical examples. The first three chapters of the book cover the basics of NLP, starting with word-vector representation before moving onto advanced algorithms. The final chapters focus entirely on implementation, and deal with sophisticated architectures such as RNN, LSTM, and Seq2seq, using Python tools: TensorFlow, and Keras. Deep Learning for Natural Language Processing follows a progressive approach and combines all the knowledge you have gained to build a question-answer chatbot system. This book is a good starting point for people who want to get started in deep learning for NLP. All the code presented in the book will be available in ...
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