Minimal APIs in ASP.NET 9. Design, implement, and optimize robust APIs in C# with .NET 9 - Second Edition

Nick Proud

Written by an esteemed technology leader, a .NET specialist, and Microsoft MVP for Developer Technologies, Minimal APIs in ASP.NET 9 provides you with specialized insights into the latest advancements in .NET technology, particularly minimal APIs.You’ll get your first minimal API set up and running, before exploring the anatomy of a typical minimal API project, seeing how the framework can be used to create various HTTP endpoints, route, and validate requests, as well as enhancing those requests with custom middleware. After covering the basics, you’ll move on to data mapping, managing important dependencies through dependency injection and integrating your minimal APIs with data sources such as Entity Framework, Dapper, and SQL databases for creating CRUD operations. The chapters also walk you through performance optimization, asynchronous programming, and caching, which’ll allow you to examine the more advanced aspects of minimal API development, with code examples reflecting real-world scenarios.By the end of this book, you’ll be armed with the necessary best practices and skills needed for deploying performant, elegant, and scalable minimal APIs in .NET.

Bayesian Analysis with Python. A practical guide to probabilistic modeling - Third Edition

Osvaldo Martin, Christopher Fonnesbeck, Thomas Wiecki

The third edition of Bayesian Analysis with Python serves as an introduction to the main concepts of applied Bayesian modeling using PyMC, a state-of-the-art probabilistic programming library, and other libraries that support and facilitate modeling like ArviZ, for exploratory analysis of Bayesian models; Bambi, for flexible and easy hierarchical linear modeling; PreliZ, for prior elicitation; PyMC-BART, for flexible non-parametric regression; and Kulprit, for variable selection.In this updated edition, a brief and conceptual introduction to probability theory enhances your learning journey by introducing new topics like Bayesian additive regression trees (BART), featuring updated examples. Refined explanations, informed by feedback and experience from previous editions, underscore the book's emphasis on Bayesian statistics. You will explore various models, including hierarchical models, generalized linear models for regression and classification, mixture models, Gaussian processes, and BART, using synthetic and real datasets.By the end of this book, you will possess a functional understanding of probabilistic modeling, enabling you to design and implement Bayesian models for your data science challenges. You'll be well-prepared to delve into more advanced material or specialized statistical modeling if the need arises.

Torque 3D Game Development Cookbook. Over 80 practical recipes and hidden gems for getting the most out of the Torque 3D game engine

DAVID WYAND

Torque 3D is a popular game engine that supports you in every step along the way to making your game a reality. Even with all of the power and tools that Torque 3D provides, finishing a high quality 3D game requires time and knowledge.Torque 3D Game Development Cookbook is a practical guide that takes you through each of the major steps on the journey to creating your game, while learning a few tricks along the way.The recipes in this book start off with learning some of the finer points about TorqueScript. The book then moves on to each of Torque 3D's subsystems and ends with a variety of game play recipes.The various topics covered include activating level-specific game code and scheduling game events, dragging and dropping items between windows to work with an in-game inventory system, and covering the seams between objects with well placed decals. Some of the advanced topics include writing custom shaders and postFX, using zones to improve rendering performance, and enhancing your game's ambience through sound.Once you are done with Torque 3D Game Development Cookbook you'll be on your way to creating amazing 3D games and gain expert knowledge of Torque 3D.

Minitab Cookbook. With over 110 practical recipes, this is the ideal book for all statisticians who want to explore the vast capabilities of Minitab to organize data, analyze it, and visualize it with impactful graphs

Isaac Newton, Isaac A Newton

Bootstrap for Rails. A quick-start guide to developing beautiful web applications with the Bootstrap toolkit and Rails framework

Syed F Rahman

Building Machine Learning Systems with Python. Expand your Python knowledge and learn all about machine-learning libraries in this user-friendly manual. ML is the next big breakthrough in technology and this book will give you the head-start you need

Willi Richert, Luis Pedro Coelho

Machine learning, the field of building systems that learn from data, is exploding on the Web and elsewhere. Python is a wonderful language in which to develop machine learning applications. As a dynamic language, it allows for fast exploration and experimentation and an increasing number of machine learning libraries are developed for Python.Building Machine Learning system with Python shows you exactly how to find patterns through raw data. The book starts by brushing up on your Python ML knowledge and introducing libraries, and then moves on to more serious projects on datasets, Modelling, Recommendations, improving recommendations through examples and sailing through sound and image processing in detail. Using open-source tools and libraries, readers will learn how to apply methods to text, images, and sounds. You will also learn how to evaluate, compare, and choose machine learning techniques. Written for Python programmers, Building Machine Learning Systems with Python teaches you how to use open-source libraries to solve real problems with machine learning. The book is based on real-world examples that the user can build on.Readers will learn how to write programs that classify the quality of StackOverflow answers or whether a music file is Jazz or Metal. They will learn regression, which is demonstrated on how to recommend movies to users. Advanced topics such as topic modeling (finding a text's most important topics), basket analysis, and cloud computing are covered as well as many other interesting aspects.Building Machine Learning Systems with Python will give you the tools and understanding required to build your own systems, which are tailored to solve your problems.

Gamification with Moodle. Use game elements in Moodle courses to build learner resilience and motivation

Natalie Denmeade

This book describes how teachers can use Gamification design within the Moodle Learning Management System. Game elements can be included in course design by using, badges, rubrics, custom grading scales, forums, and conditional activities. Moodle courses do not have to be solo-learning experiences that replicate Distance Education models. The Gamification design process starts by profiling players and creating levels of achievement towards meeting learning outcomes. Each task is defined, valued, and sequenced. Motivation loops are devised to keep the momentum going. In a gaming studio, this approach would require a team of specialists with a large budget and time frames. Preparing for a class rarely has these optimal conditions. The approach used in this book is to introduce game elements into the course design gradually. First, apply gamification to just one lesson and then build up to gamifying a series of lessons over a term. Each example will indicate the difficulty level and time investment. Try it out to see what is most effective with your learners and choose wisely in your use of technology. By the end of this book, you will be able to create Moodle courses that incorporate choice, communication,challenge, and creativity.

CORS Essentials. Access web resources on different domains

Randall Goya, Rajesh Gunasundaram

This book explains how to use CORS, including specific implementations for platforms such as Drupal, WordPress, IIS Server, ASP.NET, JBoss, Windows Azure, and Salesforce, as well as how to use CORS in the Cloud on Amazon AWS, YouTube, Mulesoft, and others. It examines limitations, security risks, and alternatives to CORS. It explores the W3C Specification and major developer documentation sources about CORS. It attempts to predict what kinds of extension to the CORS specification, or completely new techniques, will come in the future to address the limitations of CORSWeb developers will learn how to share code and assets across domains with CORS. They will learn a variety of techniques that are rather similar in their method and syntax. The book is organized by similar types of framework and application, so it can be used as a reference. Developers will learn about special cases, such as when a proxy is necessary. And they will learn about some alternative techniques that achieve similar goals, and when they may be preferable to using CORS