An iOS Developer's Guide to SwiftUI. Design and build beautiful apps quickly and easily with minimum code

Michele Fadda

– SwiftUI transforms Apple Platform app development with intuitive Swift code for seamless UI design. – Explore SwiftUI's declarative programming: define what the app should look like and do, while the OS handles the heavy lifting. – Hands-on approach covers SwiftUI fundamentals and often-omitted parts in introductory guides. – Progress from creating views and modifiers to intricate, responsive UIs and advanced techniques for complex apps. – Focus on new features in asynchronous programming and architecture patterns for efficient, modern app design. – Learn UIKit and SwiftUI integration, plus how to run tests for SwiftUI applications. – Gain confidence to harness SwiftUI's full potential for building professional-grade apps across Apple devices.

Learning Elastic Stack 7.0. Distributed search, analytics, and visualization using Elasticsearch, Logstash, Beats, and Kibana - Second Edition

Pranav Shukla, Sharath Kumar M N

The Elastic Stack is a powerful combination of tools that help in performing distributed search, analytics, logging, and visualization of data. Elastic Stack 7.0 encompasses new features and capabilities that will enable you to find unique insights into analytics using these techniques. This book will give you a fundamental understanding of what the stack is all about, and guide you in using it efficiently to build powerful real-time data processing applications. The first few sections of the book will help you understand how to set up the stack by installing tools and exploring their basic configurations. You’ll then get up to speed with using Elasticsearch for distributed search and analytics, Logstash for logging, and Kibana for data visualization. As you work through the book, you will discover the technique of creating custom plugins using Kibana and Beats. This is followed by coverage of the Elastic X-Pack, a useful extension for effective security and monitoring. You’ll also find helpful tips on how to use Elastic Cloud and deploy Elastic Stack in production environments. By the end of this book, you’ll be well-versed with fundamental Elastic Stack functionalities and the role of each component in the stack to solve different data processing problems.

A Frontend Web Developer's Guide to Testing. Explore leading web test automation frameworks and their future driven by low-code and AI

Eran Kinsbruner, Gleb Bahmutov

Testing web applications during a sprint poses a challenge for frontend web app developers, which can be overcome by harnessing the power of new, open source cross-browser test automation frameworks. This book will introduce you to a range of leading, powerful frameworks, such as Selenium, Cypress, Puppeteer, and Playwright, and serve as a guide to leveraging their test coverage capability. You’ll learn essential concepts of web testing and get an overview of the different web automation frameworks in order to integrate them into your frontend development workflow. Throughout the book, you'll explore the unique features of top open source test automation frameworks, as well as their trade-offs, and learn how to set up each of them to create tests that don't break with changes in the app.By the end of this book, you'll not only be able to choose the framework that best suits your project needs but also create your initial JavaScript-based test automation suite. This will enable fast feedback upon code changes and increase test automation reliability. As the open source market for these frameworks evolves, this guide will help you to continuously validate your project needs and adapt to the changes.

Real-Time Big Data Analytics. Design, process, and analyze large sets of complex data in real time

Sumit Gupta, Shilpi Saxena

Enterprise has been striving hard to deal with the challenges of data arriving in real time or near real time.Although there are technologies such as Storm and Spark (and many more) that solve the challenges of real-time data, using the appropriate technology/framework for the right business use case is the key to success. This book provides you with the skills required to quickly design, implement and deploy your real-time analytics using real-world examples of big data use cases.From the beginning of the book, we will cover the basics of varied real-time data processing frameworks and technologies. We will discuss and explain the differences between batch and real-time processing in detail, and will also explore the techniques and programming concepts using Apache Storm.Moving on, we’ll familiarize you with “Amazon Kinesis” for real-time data processing on cloud. We will further develop your understanding of real-time analytics through a comprehensive review of Apache Spark along with the high-level architecture and the building blocks of a Spark program. You will learn how to transform your data, get an output from transformations, and persist your results using Spark RDDs, using an interface called Spark SQL to work with Spark.At the end of this book, we will introduce Spark Streaming, the streaming library of Spark, and will walk you through the emerging Lambda Architecture (LA), which provides a hybrid platform for big data processing by combining real-time and precomputed batch data to provide a near real-time view of incoming data.

Modern API Development with Spring 6 and Spring Boot 3. Design scalable, viable, and reactive APIs with REST, gRPC, and GraphQL using Java 17 and Spring Boot 3 - Second Edition

Sourabh Sharma

Spring is a powerful and widely adopted framework for building scalable and reliable web applications in Java, complemented by Spring Boot, a popular extension to the framework that simplifies the setup and configuration of Spring-based applications. This book is an in-depth guide to harnessing Spring 6 and Spring Boot 3 for web development, offering practical knowledge of building modern robust web APIs and services.The book covers a wide range of topics that are essential for API development, including RESTful web service fundamentals, Spring concepts, and API specifications. It also explores asynchronous API design, security, designing user interfaces, testing APIs, and the deployment of web services. In addition to its comprehensive coverage, this book offers a highly contextual real-world sample app that you can use as a reference for building different types of APIs for real-world applications. This sample app will lead you through the entire API development cycle, encompassing design and specification, implementation, testing, and deployment.By the end of this book, you’ll have learned how to design, develop, test, and deploy scalable and maintainable modern APIs using Spring 6 and Spring Boot 3, along with best practices for bolstering the security and reliability of your applications and improving your application's overall functionality.

Coding with ChatGPT and Other LLMs. Navigate LLMs for effective coding, debugging, and AI-driven development

Dr. Vincent Austin Hall

Keeping up with the AI revolution and its application in coding can be challenging, but with guidance from AI and ML expert Dr. Vincent Hall—who holds a PhD in machine learning and has extensive experience in licensed software development—this book helps both new and experienced coders to quickly adopt best practices and stay relevant in the field.You’ll learn how to use LLMs such as ChatGPT and Bard to produce efficient, explainable, and shareable code and discover techniques to maximize the potential of LLMs. The book focuses on integrated development environments (IDEs) and provides tips to avoid pitfalls, such as bias and unexplainable code, to accelerate your coding speed. You’ll master advanced coding applications with LLMs, including refactoring, debugging, and optimization, while examining ethical considerations, biases, and legal implications. You’ll also use cutting-edge tools for code generation, architecting, description, and testing to avoid legal hassles while advancing your career.By the end of this book, you’ll be well-prepared for future innovations in AI-driven software development, with the ability to anticipate emerging LLM technologies and generate ideas that shape the future of development.

Mastering iOS 18 Development. Take your iOS development experience to the next level with iOS, Xcode, Swift, and SwiftUI

Avi Tsadok

Embark on a comprehensive iOS 18 development journey with Avi Tsadok, a veteran iOS developer and author of 4 books and over 40 tutorials and articles. A recognized public speaker, Avi has a knack for demystifying complex concepts and brings unparalleled expertise to the forefront of iOS 18 development education. This guide focuses on iOS 18 advancements, equipping developers with tools to maximize its potential.This book covers essential topics for seasoned developers, including Swift, SwiftUI, Xcode foundations, and the latest iOS SDK updates. You’ll get to grips with optimizing performance and understanding advanced architectural paradigms. By implementing the newest iOS updates, you’ll also explore intricate animation methods and harness a new framework, SwiftData that replaces Core Data for having persistent storage. The book builds your proficiency in advanced networking with URLSession and shows you how to conjure stunning visuals and adopt sophisticated testing techniques. You'll explore the world of machine learning with Apple’s Core ML diving into built-in frameworks like NLP, vision, and sound analysis to train and integrate your own models into iOS apps.By the end of the book, you'll possess skills to build exceptional apps, excel in advanced roles, and confidently tackle iOS development challenges.

Building Serverless Microservices in Python. A complete guide to building, testing, and deploying microservices using serverless computing on AWS

Richard Takashi Freeman

Over the last few years, there has been a massive shift from monolithic architecture to microservices, thanks to their small and independent deployments that allow increased flexibility and agile delivery. Traditionally, virtual machines and containers were the principal mediums for deploying microservices, but they involved a lot of operational effort, configuration, and maintenance. More recently, serverless computing has gained popularity due to its built-in autoscaling abilities, reduced operational costs, and increased productivity.Building Serverless Microservices in Python begins by introducing you to serverless microservice structures. You will then learn how to create your first serverless data API and test your microservice. Moving on, you'll delve into data management and work with serverless patterns. Finally, the book introduces you to the importance of securing microservices.By the end of the book, you will have gained the skills you need to combine microservices with serverless computing, making their deployment much easier thanks to the cloud provider managing the servers and capacity planning.