Solr Cookbook. Solve real-time problems related to Apache Solr 4.x and 5.0 effectively with the help of over 100 easy-to-follow recipes

Rafal Kuc

Web Development with Blazor. A practical guide to start building interactive UIs with C# 11 and .NET 7 - Second Edition

Jimmy Engström, Jeff Fritz

Blazor is an essential tool if you want to build interactive web apps without JavaScript, but it has a learning curve. Updated with the latest code in .NET 7 and C# 11 and written by someone who adopted Blazor early, this book will help you overcome the challenges associated with being a beginner with Blazor and teach you the best coding practices.You’ll start by learning how to leverage the power of Blazor and exploring the full capabilities of both Blazor Server and Blazor WebAssembly. Then you'll move on to the practical part, centered around a sample project – a blog engine. You'll apply all your newfound knowledge about creating Blazor projects, the inner workings of Razor syntax, validating forms, and creating your own components.This new edition also looks at source generators, dives deeper into Blazor WebAssembly with ahead-of-time, and includes a dedicated new chapter demonstrating how to move components of an existing JavaScript (Angular, React) or MVC-based website to Blazor or combine the two. You’ll also see how to use Blazor (Hybrid) together with .NET MAUI to create cross-platform desktop and mobile applications.When you reach the end of this book, you'll have the confidence you need to create and deploy production-ready Blazor applications, and you'll have a big-picture view of the Blazor landscape.

Getting Started with Red Hat Enterprise Virtualization. Leverage powerful Red Hat Enterprise Virtualization solutions to build your own IaaS cloud

Pradeep Subramaniaan

Python Reinforcement Learning. Solve complex real-world problems by mastering reinforcement learning algorithms using OpenAI Gym and TensorFlow

Sudharsan Ravichandiran, Sean Saito, Rajalingappaa Shanmugamani, Yang Wenzhuo

Reinforcement Learning (RL) is the trending and most promising branch of artificial intelligence. This Learning Path will help you master not only the basic reinforcement learning algorithms but also the advanced deep reinforcement learning algorithms.The Learning Path starts with an introduction to RL followed by OpenAI Gym, and TensorFlow. You will then explore various RL algorithms, such as Markov Decision Process, Monte Carlo methods, and dynamic programming, including value and policy iteration. You'll also work on various datasets including image, text, and video. This example-rich guide will introduce you to deep RL algorithms, such as Dueling DQN, DRQN, A3C, PPO, and TRPO. You will gain experience in several domains, including gaming, image processing, and physical simulations. You'll explore TensorFlow and OpenAI Gym to implement algorithms that also predict stock prices, generate natural language, and even build other neural networks. You will also learn about imagination-augmented agents, learning from human preference, DQfD, HER, and many of the recent advancements in RL.By the end of the Learning Path, you will have all the knowledge and experience needed to implement RL and deep RL in your projects, and you enter the world of artificial intelligence to solve various real-life problems.This Learning Path includes content from the following Packt products:• Hands-On Reinforcement Learning with Python by Sudharsan Ravichandiran• Python Reinforcement Learning Projects by Sean Saito, Yang Wenzhuo, and Rajalingappaa Shanmugamani

Software Test Design. Write comprehensive test plans to uncover critical bugs in web, desktop, and mobile apps

Simon Amey

Software Test Design details best practices for testing software applications and writing comprehensive test plans. Written by an expert with over twenty years of experience in the high-tech industry, this guide will provide you with training and practical examples to improve your testing skills.Thorough testing requires a thorough understanding of the functionality under test, informed by exploratory testing and described by a detailed functional specification. This book is divided into three sections, the first of which will describe how best to complete those tasks to start testing from a solid foundation.Armed with the feature specification, functional testing verifies the visible behavior of features by identifying equivalence partitions, boundary values, and other key test conditions. This section explores techniques such as black- and white-box testing, trying error cases, finding security weaknesses, improving the user experience, and how to maintain your product in the long term.The final section describes how best to test the limits of your application. How does it behave under failure conditions and can it recover? What is the maximum load it can sustain? And how does it respond when overloaded?By the end of this book, you will know how to write detailed test plans to improve the quality of your software applications.

Matplotlib for Python Developers. Effective techniques for data visualization with Python - Second Edition

Aldrin Yim, Claire Chung, Allen Yu

Python is a general-purpose programming language increasingly being used for data analysis and visualization. Matplotlib is a popular data visualization package in Python used to design effective plots and graphs. This is a practical, hands-on resource to help you visualize data with Python using the Matplotlib library. Matplotlib for Python Developers, Second Edition shows you how to create attractive graphs, charts, and plots using Matplotlib. You will also get a quick introduction to third-party packages, Seaborn, Pandas, Basemap, and Geopandas, and learn how to use them with Matplotlib. After that, you’ll embed and customize your plots in third-party tools such as GTK+3, Qt 5, and wxWidgets. You’ll also be able to tweak the look and feel of your visualization with the help of practical examples provided in this book. Further on, you’ll explore Matplotlib 2.1.x on the web, from a cloud-based platform using third-party packages such as Django. Finally, you will integrate interactive, real-time visualization techniques into your current workflow with the help of practical real-world examples.By the end of this book, you’ll be thoroughly comfortable with using the popular Python data visualization library Matplotlib 2.1.x and leveraging its power to build attractive, insightful, and powerful visualizations.

Learning Python Network Programming. Utilize Python 3 to get network applications up and running quickly and easily

Dr. M. O. Faruque Sarker, Samuel B Washington, Sam Washington

Migrating Applications to the Cloud with Azure. Re-architect and rebuild your applications using cloud-native technologies

Sjoukje Zaal, Amit Malik, Sander Rossel, Jason Marston, ...

Whether you are trying to re-architect a legacy app or build a cloud-ready app from scratch, using the Azure ecosystem with .NET and Java technologies helps you to strategize and plan your app modernization process effectively. With this book, you’ll learn how to modernize your applications by using Azure for containerization, DevOps, microservices, and serverless solutions to reduce development time and costs, while also making your applications robust, secure, and scalable.You will delve into improving application efficiency by using container services such as Azure Container Service, Azure Kubernetes Service (AKS), and more. Next, you will learn to modernize your application by implementing DevOps throughout your application development life cycle. You will then focus on increasing the scalability and performance of your overall application with microservices, before learning how to add extra functionality to your application with Azure serverless solutions. Finally, you’ll get up to speed with monitoring and troubleshooting techniques.By the end of this book, you will have learned how to use the Azure ecosystem to refactor, re-architect, and rebuild your web, mobile, and desktop applications.