Mastering Object-Oriented Python. Build powerful applications with reusable code using OOP design patterns and Python 3.7 - Second Edition

Steven F. Lott

Object-oriented programming (OOP) is a relatively complex discipline to master, and it can be difficult to see how general principles apply to each language's unique features. With the help of the latest edition of Mastering Objected-Oriented Python, you'll be shown how to effectively implement OOP in Python, and even explore Python 3.x. Complete with practical examples, the book guides you through the advanced concepts of OOP in Python, and demonstrates how you can apply them to solve complex problems in OOP. You will learn how to create high-quality Python programs by exploring design alternatives and determining which design offers the best performance. Next, you'll work through special methods for handling simple object conversions and also learn about hashing and comparison of objects. As you cover later chapters, you'll discover how essential it is to locate the best algorithms and optimal data structures for developing robust solutions to programming problems with minimal computer processing. Finally, the book will assist you in leveraging various Python features by implementing object-oriented designs in your programs.By the end of this book, you will have learned a number of alternate approaches with different attributes to confidently solve programming problems in Python.

DevOps: Puppet, Docker, and Kubernetes. Practical recipes to make the most of DevOps with powerful tools

Neependra Khare, Ke-Jou Carol Hsu, Hideto Saito, John Arundel, ...

With so many IT management and DevOps tools on the market, both open source and commercial, it’s difficult to know where to start. DevOps is incredibly powerful when implemented correctly, and here’s how to get it done.This Learning Path covers three broad areas: Puppet, Docker, and Kubernetes. This Learning Path is a large resource of recipes to ease your daily DevOps tasks. We begin with recipes that help you develop a complete and expert understanding of Puppet’s latest and most advanced features. Then we provide recipes that help you efficiently work with the Docker environment. Finally, we show you how to better manage containers in different scenarios in production using Kubernetes.This course is based on these books:1. Puppet Cookbook, Third Edition 2. Docker Cookbook 3. Kubernetes Cookbook

Boost.Asio C++ Network Programming. Learn effective C++ network programming with Boost.Asio and become a proficient C++ network programmer

Wisnu Anggoro

Unity Cookbook. Over 160 recipes to craft your own masterpiece in Unity 2023 - Fifth Edition

Matt Smith, Shaun Ferns, Sinéad Murphy, Chris Gregan

Unleash your game development potential with Unity Cookbook, 5th Edition, designed to equip you with the skills and knowledge needed to excel in Unity game development. With over 160 expertly crafted recipes empowering you to pioneer VR and AR experiences, excel in mobile game development, and become a master of audio techniques.In this latest edition, we've meticulously curated a collection of recipes that reflect the latest advancements in Unity 2023, ensuring you stay at the forefront of game development. You'll discover dedicated recipes for First/Third Person (Core) templates, create engaging mobile games, delve into Virtual and Augmented Reality, and go further with audio by exploring advanced techniques. Additionally, the book has been fully updated to incorporate the new input system and TextMeshPro, essential elements for modern game development.From exploring C# scripting to crafting stylish UIs, creating stunning visual effects, and understanding shader development through Shader Graph, every chapter is designed to take you closer to your goal of becoming a proficient Unity developer.So, whether you're aiming to develop the next hit game, enhance your portfolio, or simply have fun building games, this book will be your trusted companion on your journey to Unity proficiency.

AUTOSAR Fundamentals and Applications. Establishing a solid foundation for automotive software design with AUTOSAR

Hossam Soffar

AUTOSAR has become the standard for developing automotive ECUs, driven by the demand for increasingly sophisticated features that require a robust, safe, secure, and scalable framework for efficient development for automotive software. For those new to AUTOSAR, its complexity, intricate architecture, and extensive standards can be daunting. With twelve years of experience in the automotive software industry, Hossam Soffar brings his unparalleled expertise to this essential AUTOSAR guide, addressing these challenges by explaining AUTOSAR's framework, architecture, and their application through best practices and real-world use cases.This book comprehensively explores AUTOSAR’s objectives, guiding you through its layered architecture and various stacks, components, and communication mechanisms. You’ll learn how to design, configure, and integrate AUTOSAR Basic Software (BSW) components, understand the real-time-environment (RTE), and master the principles of communications, diagnostics, security, and operating systems, all of which is essential for developing high-quality, safety-critical, and efficient ECUs. With a clear understanding of how these elements work together, you'll be equipped to navigate the complexities of modern automotive software development to build, implement, and manage automotive systems with enhanced efficiency.

Kubernetes Cookbook. Practical solutions to container orchestration - Second Edition

Hideto Saito, Hui-Chuan Chloe Lee, Ke-Jou Carol Hsu

Kubernetes is an open source orchestration platform to manage containers in a cluster environment. With Kubernetes, you can configure and deploy containerized applications easily. This book gives you a quick brush up on how Kubernetes works with containers, and an overview of main Kubernetes concepts, such as Pods, Deployments, Services and etc. This book explains how to create Kubernetes clusters and run applications with proper authentication and authorization configurations. With real-world recipes, you'll learn how to create high availability Kubernetes clusters on AWS, GCP and in on-premise datacenters with proper logging and monitoring setup. You'll also learn some useful tips about how to build a continuous delivery pipeline for your application. Upon completion of this book, you will be able to use Kubernetes in production and will have a better understanding of how to manage containers using Kubernetes.

Full Stack Development with Spring Boot 3 and React. Build modern web applications using the power of Java, React, and TypeScript - Fourth Edition

Juha Hinkula

If you’re an existing Java developer who wants to go full stack or pick up another frontend framework, this book is your concise introduction to React. In this three-part build-along, you’ll create a robust Spring Boot backend, a React frontend, and then deploy them together.This new edition is updated to Spring Boot 3 and includes expanded content on security and testing. For the first time ever, it also covers React development with the in-demand TypeScript.You’ll explore the elements that go into creating a REST API and testing, securing, and deploying your applications. You’ll learn about custom Hooks, third-party components, and MUI.By the end of this book, you'll be able to build a full stack application using the latest tools and modern best practices.

Hands-On Time Series Analysis with R. Perform time series analysis and forecasting using R

Rami Krispin

Time-series analysis is the art of extracting meaningful insights from, and revealing patterns in, time-series data using statistical and data visualization approaches. These insights and patterns can then be utilized to explore past events and forecast future values in the series.This book explores the basics of time-series analysis with R and lays the foundation you need to build forecasting models. You will learn how to preprocess raw time-series data and clean and manipulate data with packages such as stats, lubridate, xts, and zoo. You will analyze data using both descriptive statistics and rich data visualization tools in R including the TSstudio, plotly, and ggplot2 packages. The book then delves into traditional forecasting models such as time-series linear regression, exponential smoothing (Holt, Holt-Winter, and more) and Auto-Regressive Integrated Moving Average (ARIMA) models with the stats and forecast packages. You'll also work on advanced time-series regression models with machine learning algorithms such as random forest and Gradient Boosting Machine using the h2o package.By the end of this book, you will have developed the skills necessary for exploring your data, identifying patterns, and building a forecasting model using various traditional and machine learning methods.