A practical approach to metaprogramming with real-world examples that enables the development of advanced frameworks, libraries, and applications using Python Key Features Learn applied metaprogramming through a simple step-by-step approach Work with easily understandable examples and explanations that take you deep into the theory of metaprogramming Get practical experience in writing reusable code with real-world examples Book DescriptionEffective and reusable code makes your application development process seamless and easily maintainable. With Python, you will have access to advanced metaprogramming features that you can use to build high-performing applications. The book starts by introducing you to the need and applications of metaprogramming, before navigating the fundamentals of object-oriented programming. Next, you will learn about simple decorators, work with metaclasses, and later focus on introspection and reflection. You'll also delve into generics and typing before defining templates for algorithms. As you progress, you will understand your code using abstract syntax trees and explore method resolution order. This Python book also shows you how to create your own dynamic objects before structuring the objects through design patterns. Finally, you will learn simple code-generation techniques along with discovering best practices and eventually building your own applications. By the end of this learning journey, you'll have acquired the skills and confidence you need to design and build reusable high-performing applications that can solve real-world problems. What you will learn Understand the programming paradigm of metaprogramming and its need Revisit the fundamentals of object-oriented programming Define decorators and work with metaclasses Employ introspection and reflection on your code Apply generics, typing, and templates to enhance your code Get to grips with the structure of your code through abstract syntax trees and the behavior through method resolution order Create dynamic objects and generate dynamic code Understand various design patterns and best practices Who this book is forIf you are an intermediate-level Python programmer looking to enhance your coding skills by developing reusable and advanced frameworks, then this book is for you. Basic knowledge of Python programming will help you get the most out of this learning journey.

A PHP developer's practical guide to planning, writing, and deploying maintainable and extensible software solutions with automated tests in a well-structured way Key Features * Learn to organize and translate business requirements into maintainable software * Minimize regressions and bugs while releasing new features or bug fixes * Build maintainable applications using SOLID principles Book Description PHP web developers end up building complex enterprise projects without prior experience in test-driven and behavior-driven development which results in software that's complex and difficult to maintain. This step-by-step guide helps you manage the complexities of large-scale web applications. It takes you through the processes of working on a project, starting from understanding business requirements and translating them into actual maintainable software, to automated deployments. You'll learn how to break down business requirements into workable and actionable lists using Jira. Using those organized lists of business requirements, you'll understand how to implement behavior-driven development (BDD) and test-driven development (TDD) to start writing maintainable PHP code. You'll explore how to use the automated tests to help you stop introducing regressions to an application each time you release code by using continuous integration. By the end of this book, you'll have learned how to start a PHP project, break down the requirements, build test scenarios and automated tests, and write more testable and maintainable PHP code. By learning these processes, you'll be able to develop more maintainable, and reliable enterprise PHP applications. What you will learn * Understand how to start a software project * Discover how to use Jira as a tool to organize your tasks * Explore when and how to write unit, integration, and functional tests using PHPUnit * Write behavior-driven tests using Behat * Apply SOLID principles to help you write more testable code * Get the most out of your automated tests by using continuous integration * Use continuous delivery to help you prepare your application for deployment Who This Book Is For This book is for PHP software developers looking to implement TDD and BDD in their projects. An understanding of object-oriented programming is required to get the most out of this book. Professional software development experience will also be beneficial to understand real-life business cases.

Tornado is a scalable, non-blocking web server and web application framework written in Python. It is also light-weight to deploy, fun to write for, and incredibly powerful. Tornado was written with performance in mind, aiming to solve the C10k problem, so by design it's an extremely high-performance framework. It's also packed with handy tools for dealing with social networks, user authentication, and all sorts of asynchronous fun. In this book, we'll cover the basics of the Tornado framework, starting with the features that make it so great, and working our way towards some real-life examples. We'll cover the best practices for implementation and deployment, as well as a sampling of uses for the technology.

Discover how to construct real-time applications with Python and Django without the hassle of learning JavaScript Key Features Learn to put together an SPA using Python and very little JavaScript Create WebSocket communication between the backend and frontend Build a real-world project with Django using the techniques provided in this book Book DescriptionThe HTML over WebSockets approach simplifies single-page application (SPA) development and lets you bypass learning a JavaScript rendering framework such as React, Vue, or Angular, moving the logic to Python. This web application development book provides you with all the Django tools you need to simplify your developments with real-time results. You'll learn state-of-the-art WebSocket techniques to realize real-time applications with minimal reliance on JavaScript. This book will also show you how to create a project with Docker from the ground up, test it, and deploy it on a server. You'll learn how to create a project, add Docker, and discover development libraries, Django channels, and bidirectional communication, and from then, on you'll create real projects of all kinds using HTML over WebSockets as a chat app or a blog with real-time comments. In addition, you'll modernize your development techniques by moving from using an SSR model to creating web pages using WebSockets over HTML. With Django, you'll be able to create SPAs with professional real-time projects where the logic is in Python. By the end of this Django book, you'll be able to build real-time applications, as well as gaining a solid understanding of WebSockets with Django. What you will learn Explore real-time site realization Understand the proper use of Django channels Find out how to set up Docker with Django Discover how to use a JavaScript framework such as Stimulus Manage a database asynchronously in Django Bring dynamic rendering logic to the backend Who this book is forThis book is for developers looking to build applications where they want to bring logic to the backend, learn WebSockets, and not depend on JavaScript heavily to create a single-page application. Basic knowledge of HTML and Python and familiarity with basic web development concepts is expected.

Build the understanding, skills, and experience to confidently implement React in your next project with this fast-paced overview of React fundamentals Key Features A clear, concise explanation of core React 18 functionalities to promote quick, easy reference Gain a deep understanding of key React concepts with the help of step-by-step derivations Work with practical exercises that challenge you to apply your new skills and build your own simple apps Book DescriptionAs the most popular JavaScript library for building modern, interactive user interfaces, React is an in-demand framework that'll bring real value to your career or next project. But like any technology, learning React can be tricky, and finding the right teacher can make things a whole lot easier. Maximilian Schwarzmuller is a bestselling instructor who has helped over two million students worldwide learn how to code, and his latest React video course (React - The Complete Guide) has over six hundred thousand students on Udemy. Max has written this quick-start reference to help you get to grips with the world of React programming. Simple explanations, relevant examples, and a clear, concise approach make this fast-paced guide the ideal resource for busy developers. This book distills the core concepts of React and draws together its key features with neat summaries, thus perfectly complementing other in-depth teaching resources. So, whether you've just finished Max's React video course and are looking for a handy reference tool, or you've been using a variety of other learning materials and now need a single study guide to bring everything together, this is the ideal companion to support you through your next React projects. Plus, it's fully up to date for React 18, so you can be sure you're ready to go with the latest version. What you will learn Build modern, user-friendly, and reactive web apps Create components and utilize props to pass data between them Handle events, perform state updates, and manage conditional content Apply styles dynamically and conditionally to create a modern UI Use advanced state management techniques such as React's context API Utilize React router to render different pages for different URLs Understand key best practices and optimization opportunities Who this book is forThis React book is for developers who have prior experience with, or who are currently learning, the basics of React. You can use this book as a standalone resource to consolidate your understanding or as a companion guide to a more in-depth course. To get the most value from this book, you should have a basic understanding of the fundamentals of JavaScript, HTML, and CSS.

There is no shortage of websites that use the PHP programming language in some or other capacity. PHP (Hypertext Preprocessor) is a server-side scripting language that allows you to create dynamically-generated web pages. Rasmus Lerdorf created PHP in 1994. PHP works in the backend of a website because it is a server-side technology. This is the part of a website that no one sees. This means that PHP is frequently used to run server-side programs such as data collection and processing and database management. The fact that PHP is a simple language is one of the key reasons why learning it is a wise investment. PHP was created with the goal of speeding up web development; therefore, it features a basic syntax that is ideal for beginners. Furthermore, because PHP is a dynamically typed language, there are less restrictions to follow while creating features. The PHP programming language offers a wide range of applications and features, such as authentication, payments, user administration, and other "dynamic" aspects of a website. Efficiency, syntax compatibility, platform independence, error detection, and encryption are just a few of the interesting properties of PHP. Why Should You Learn PHP? PHP developers work with the PHP programming language to create websites, applications, and programs. As a PHP developer, you'll usually be working in IT companies (all over the world), but there are also a lot of opportunities in design and business. A PHP developer, like any other programming/scripting language developer, should be able to work with many languages and ideally have some knowledge of database, web design, or some page formatting language. This Book Offers: * A step-by-step approach to problem solving and skill development * A quick run-through of the basic concepts, in the form of a "Crash Course" * Advanced, hands-on core concepts, with a focus on real-world problems * Industry-level coding paradigms and a practice-oriented explanatory approach * Special emphasis on writing clean and optimized code, with additional chapters focused on coding methodology

Discover the secrets of building Python microservices using the FastAPI framework Key Features Provides a reference that contains definitions, illustrations, comparative analysis, and the implementation of real-world apps Covers concepts, core details, and advanced integration and design-related topics Imparts context, app templates, suggestions, and insights that are helpful to actual projects Book DescriptionFastAPI is an Asynchronous Server Gateway Interface (ASGI)-based framework that can help build modern, manageable, and fast microservices. Because of its asynchronous core platform, this ASGI-based framework provides the best option when it comes to performance, reliability, and scalability over the WSGI-based Django and Flask. When working with Python, Flask, and Django microservices, you'll be able to put your knowledge to work with this practical guide to building seamlessly manageable and fast microservices. You'll begin by understanding the background of FastAPI and learning how to install, configure, and use FastAPI to decompose business units. You'll explore a unique and asynchronous REST API framework that can provide a better option when it comes to building microservices. After that, this book will guide you on how to apply and translate microservices design patterns in building various microservices applications and RESTful APIs using the FastAPI framework. By the end of this microservices book, you'll be able to understand, build, deploy, test, and experiment with microservices and their components using the FastAPI framework. What you will learn Understand, orient, and implement REST APIs using the basic components of the FastAPI framework Build asynchronous as well as synchronous REST services using the built-in pydantic module and asyncio support Create small-scale and large-scale microservices applications using features supported by FastAPI Build event-driven and message-driven applications using the framework Create an asynchronous and synchronous data layer with both relational and NoSQL databases Perform numerical and symbolic computations with FastAPI Who this book is forThis book is for Python web developers, advanced Python developers, and backend developers using Flask or Django who want to learn how to use the FastAPI framework to implement microservices. Readers familiar with the REST API and microservices will also benefit from this book. Some parts of the book contain general concepts, processes, and instructions that intermediate-level developers and Python enthusiasts can relate to as well.

Gain proficiency, productivity, and power by working on projects and kick-starting your career in Python with this comprehensive, hands-on guide. Key Features Understand and utilize Python syntax, objects, methods, and best practices Explore Python's many features and libraries through real-world problems and big data Use your newly acquired Python skills in machine learning as well as web and software development Book DescriptionPython is among the most popular programming languages in the world. It's ideal for beginners because it's easy to read and write, and for developers, because it's widely available with a strong support community, extensive documentation, and phenomenal libraries - both built-in and user-contributed. This project-based course has been designed by a team of expert authors to get you up and running with Python. You'll work though engaging projects that'll enable you to leverage your newfound Python skills efficiently in technical jobs, personal projects, and job interviews. The book will help you gain an edge in data science, web development, and software development, preparing you to tackle real-world challenges in Python and pursue advanced topics on your own. Throughout the chapters, each component has been explicitly designed to engage and stimulate different parts of the brain so that you can retain and apply what you learn in the practical context with maximum impact. By completing the course from start to finish, you'll walk away feeling capable of tackling any real-world Python development problem. What you will learn Write efficient and concise functions using core Python methods and libraries Build classes to address different business needs Create visual graphs to communicate key data insights Organize big data and use machine learning to make regression and classification predictions Develop web pages and programs with Python tools and packages Automate essential tasks using Python scripts in real-time execution Who this book is forThis book is for professionals, students, and hobbyists who want to learn Python and apply it to solve challenging real-world problems. Although this is a beginner's course, you'll learn more easily if you already have an understanding of standard programming topics like variables, if-else statements, and functions. Experience with another object-oriented program, though not essential, will also be beneficial. If Python is your first attempt at computer programming, this book will help you understand the basics with adequate detail for a motivated student.

Software is everywhere, but despite being so common and useful, it remains magical and mysterious to many. Still, more and more people are finding themselves working for tech companies, or with an array of software products, services, and tools. This can segregate those who understand tech from those that don't. But it doesn't have to be this way. This book aims to bring these two worlds closer together, allowing people to learn basic concepts of software development in a casual and straight-forward way. Assuming no previous technical knowledge, you'll embark on a journey where you can understand and build a new software project from scratch until it is an advanced product with multiple users. A Friendly Guide to Software Development makes technical concepts broadly available and easy to understand. Imagine moving from a "traditional" company and suddenly finding yourself in one where software is the main product or is a foundational component to it. One is often left to wade through the infinite concepts while still doing their actual jobs. This book closes that gap. In doing so, you'll be able to achieve better communication, which will undoubtedly lead to better working relationships, a better working environment, and ultimately better software. What You'll Learn See how a new software project is created Examine the basics of software development and architecture Know which questions to ask to avoid potential problems and pitfalls Start using and building software projects Who This Book Is For Those without a traditional technical background people like business and project managers who need to work closely with software developers and teams People who are interested in building a software system but don't know where to start. Programmers who want to jump to development but have no experience in the industry and its common concepts

Design, build, and deploy performant and maintainable web applications using Spring, Spring Boot, and Angular Key Features Find solutions to common problems faced while developing applications with Angular and Spring Boot Explore tips, tricks, and best practices to overcome challenges related to source code Build applications faster and more efficiently using the Spring Framework and the Spring Boot extension Book DescriptionAngular makes building applications with the web easy and Spring Boot helps get an application up and running using just a few lines of code and minimal configuration. This book provides insights into building full-stack apps using Angular and Spring Boot effectively to reduce overall development time and increase efficiency. You'll start by setting up your CI/CD pipeline and then build your web application's backend guided by best practices. You'll then see how Spring Boot allows you to build applications faster and more efficiently by letting the Spring Framework and Spring Boot extension do the heavy lifting. The book demonstrates how to use Spring Data JPA and add its dependencies along with Postgres dependencies in the project to save or persist a user's data in a database for future use. As you advance, you'll see how to write tests and test a service using Mockito. Finally, you'll create a CI workflow or pipeline for a Spring Boot and Angular application to enable operations to deliver quality applications faster. By the end of this Spring Boot and Angular book, you'll be able to build a full-stack web application and deploy it through continuous integration and continuous deployment. What you will learn Explore how to architect Angular for enterprise-level app development Create a Spring Boot project using Spring Initializr Build RESTful APIs for enterprise-level app development Understand how using Redis for caching can improve your application's performance Discover CORS and how to add CORS policy in the Spring Boot application for better security Write tests to maintain a healthy Java Spring Boot application Implement testing and modern deployments of frontend and backend applications Who this book is forThe book is for busy Java web developers and TypeScript developers with little experience developing Angular and Spring Boot apps who want to learn best practices for building full-stack web apps. Basic knowledge of HTML, CSS, and JavaScript or the Java programming language is necessary.

If you're new to GitHub, this concise book shows you just what you need to get started and no more. It's perfect for project and product managers, stakeholders, and other team members who want to collaborate on a development project - whether it's to review and comment on work in progress or to contribute specific changes. It's also great for developers just learning GitHub. GitHub has rapidly become the default platform for software development, but it's also ideal for other text-based documents, from contracts to screenplays. This hands-on book shows you how to use GitHub's web interface to view projects and collaborate effectively with your team. Learn how and why people use GitHub to collaborate View the status of a project - recent changes, outstanding work, and historic changes Create and edit files through GitHub without learning Git Suggest changes to projects you don't have permission to edit directly Use tools like issues, pull requests, and branches to specify and collaborate on changes Create a new GitHub repository to control who has access to your project

Practical lessons, examples, and practices from PHP experts on how to take your PHP skills to a professional level Key Features Easily navigate to key clean code principles specific to PHP development with this hands-on guide Learn the how and why of writing clean code through practical examples Skip the superfluous knowledge and grasp everything that's relevant to the real-world development environment Book DescriptionPHP is a beginner-friendly language, but also one that is rife with complaints of bad code,;yet no clean code books are specific to PHP. Enter Clean Code in PHP. This book is a one-stop guide to learning the theory and best practices of clean code specific to real-world PHP app development environments. This PHP book is cleanly split to help you navigate through coding practices and theories to understand and adopt the nuances of the clean code paradigm. In addition to covering best practices, tooling for code quality, and PHP design patterns, this book also presents tips and techniques for working on large-scale PHP apps with a team and writing effective documentation for your PHP projects. By the end of this book, you'll be able to write human-friendly PHP code, which will fuel your PHP career growth and set you apart from the competition. What you will learn Build a solid foundation in clean coding to craft human-readable code Understand metrics to determine the quality of your code Get to grips with the basics of automated tests Implement continuous integration for your PHP applications Get an overview of software design patterns to help you write reusable code Gain an understanding of coding guidelines and practices for working in teams Who this book is forThis book is for early-career PHP developers who wish to avoid writing messy code by learning how to write understandable and maintainable code that sets them apart from rest. The book assumes familiarity with PHP coding and principles, but no knowledge of advanced principles will be necessary.

Apply machine learning to streaming data with the help of practical examples, and deal with challenges that surround streaming Key Features Work on streaming use cases that are not taught in most data science courses Gain experience with state-of-the-art tools for streaming data Mitigate various challenges while handling streaming data Book DescriptionStreaming data is the new top technology to watch out for in the field of data science and machine learning. As business needs become more demanding, many use cases require real-time analysis as well as real-time machine learning. This book will help you to get up to speed with data analytics for streaming data and focus strongly on adapting machine learning and other analytics to the case of streaming data. You will first learn about the architecture for streaming and real-time machine learning. Next, you will look at the state-of-the-art frameworks for streaming data like River. Later chapters will focus on various industrial use cases for streaming data like Online Anomaly Detection and others. As you progress, you will discover various challenges and learn how to mitigate them. In addition to this, you will learn best practices that will help you use streaming data to generate real-time insights. By the end of this book, you will have gained the confidence you need to stream data in your machine learning models. What you will learn Understand the challenges and advantages of working with streaming data Develop real-time insights from streaming data Understand the implementation of streaming data with various use cases to boost your knowledge Develop a PCA alternative that can work on real-time data Explore best practices for handling streaming data that you absolutely need to remember Develop an API for real-time machine learning inference Who this book is forThis book is for data scientists and machine learning engineers who have a background in machine learning, are practice and technology-oriented, and want to learn how to apply machine learning to streaming data through practical examples with modern technologies. Although an understanding of basic Python and machine learning concepts is a must, no prior knowledge of streaming is required.