C# 11 and .NET 7 - Modern Cross-Platform Development Fundamentals, 7th EditionExtensively revised to accommodate the latest features that come with C# 11 and .NET 7, this latest edition of our guide will get you coding in C# with confidence.
You'll learn object-oriented programming, writing, testing, and debugging functions, implementing interfaces, and inheriting classes. Next, you'll take on .NET APIs for performing tasks like managing and querying data, working with the filesystem, and serialization. As you progress, you'll also explore examples of cross-platform projects you can build and deploy, such as websites and services using ASP.NET Core.
Instead of distracting you with unnecessary graphical user interface code, the first eleven chapters will teach you about C# language constructs and many of the .NET libraries through simple console applications. In later chapters, having mastered the basics, you'll then build websites, web services, and browser apps using ASP.NET Core, the Model-View-Controller (MVC) pattern, and Blazor.
C# 11 and .NET 7 - ...
Python Feature Engineering Cookbook, 2nd EditionFeature engineering, the process of transforming variables and creating features, albeit time-consuming, ensures that your machine learning models perform seamlessly. This second edition of Python Feature Engineering Cookbook will take the struggle out of feature engineering by showing you how to use open source Python libraries to accelerate the process via a plethora of practical, hands-on recipes.
This updated edition begins by addressing fundamental data challenges such as missing data and categorical values, before moving on to strategies for dealing with skewed distributions and outliers. The concluding chapters show you how to develop new features from various types of data, including text, time series, and relational databases. With the help of numerous open source Python libraries, you'll learn how to implement each feature engineering method in a performant, reproducible, and elegant manner.
By the end of this Python book, you will have the tools and expertise needed to ...
Testing Web APIsTesting Web APIs teaches you to plan and implement the perfect testing strategy for your web APIs. In it, you'll explore dozens of different testing activities to help you develop a custom testing regime for your projects. This practical book demystifies abstract strategic concepts by applying them to common API testing scenarios, revealing how these complex ideas work in the real world. You'll learn to take a risk-driven approach to API testing, and build a strategy that goes beyond the basics of code and requirements coverage. Your whole team will soon be involved in ensuring quality!
Web APIs are the public face of your application, and they need to be perfect. Implementing an automated testing program is the best way to ensure that your web APIs are production ready.
Testing Web APIs is a unique and practical guide, from the initial design of your testing suite through techniques for documentation, implementation, and delivery of consistently excellent APIs. You'll see a wide ...
Microservices with GoThis book covers the key benefits and common issues of microservices, helping you understand the problems microservice architecture helps to solve, the issues it usually introduces, and the ways to tackle them.
You'll start by learning about the importance of using the right principles and standards in order to achieve the key benefits of microservice architecture. The following chapters will explain why the Go programming language is one of the most popular languages for microservice development and lay down the foundations for the next chapters of the book. You'll explore the foundational aspects of Go microservice development including service scaffolding, service discovery, data serialization, synchronous and asynchronous communication, deployment, and testing. After covering the development aspects, you'll progress to maintenance and reliability topics. The last part focuses on more advanced topics of Go microservice development including system reliability, observability, main ...
Mathematics for Game Programming and Computer GraphicsMathematics is an essential skill when it comes to graphics and game development, particularly if you want to understand the generation of real-time computer graphics and the manipulation of objects and environments in a detailed way. Python, together with Pygame and PyOpenGL, provides you with the opportunity to explore these features under the hood, revealing how computers generate and manipulate 3D environments.
Mathematics for Game Programming and Computer Graphics is an exhaustive guide to getting "back to the basics" of mathematics, using a series of problem-based, practical exercises to explore ideas around drawing graphic lines and shapes, applying vectors and vertices, constructing and rendering meshes, and working with vertex shaders. By leveraging Python, Pygame, and PyOpenGL, you'll be able to create your own mathematics-based engine and API that will be used throughout to build applications.
By the end of this graphics focussed book, you'll have gained a thorough und ...
Software Development with GoGain insights into the different challenges that can be solved using Go, with a focus on containers, Linux, security, networking, user interfaces and other relevant cloud based topics. This book reviews the necessary tools to create container-based cloud solutions with Go, a programming language that was born out of the need to address scalable, high availability cloud computing architecture needs inside Google.
Go, also known as Golang, has been adopted across different industries and products with many popular Open Source projects that power cloud computing technologies such as Docker and Kubernetes being written with Go. As the complexity of cloud technology increases, so does the need for people to understand how things work under-the-hood and to fix them when they're broken. ...
Machine Learning with R, 4th EditionMachine learning, at its core, is concerned with transforming data into actionable knowledge. R offers a powerful set of machine learning methods to quickly and easily gain insight from your data. Machine Learning with R, Fourth Edition, provides a hands-on, accessible, and readable guide to applying machine learning to real-world problems. Whether you are an experienced R user or new to the language, Brett Lantz teaches you everything you need to know for data pre-processing, uncovering key insights, making new predictions, and visualizing your findings. This 10th Anniversary Edition features several new chapters that reflect the progress of machine learning in the last few years and help you build your data science skills and tackle more challenging problems, including making successful machine learning models and advanced data preparation, building better learners, and making use of big data. You'll also find this classic R data science book updated to R 4.0.0 with newer and better ...
Expert Data Modeling with Power BI, 2nd EditionThis book is a comprehensive guide to understanding the ins and outs of data modeling and how to create full-fledged data models using Power BI confidently. In this new, fully updated edition, you'll learn how to connect data from multiple sources, understand data, define and manage relationships between data, and shape data models to gain deep and detailed insights about your organization. As you advance through the chapters, the book will demonstrate how to prepare efficient data models in the Power Query Editor and use simpler DAX code with new data modeling features. You'll explore how to use the various data modeling and navigation techniques and perform custom calculations using the modeling features with the help of real-world examples. Finally, you'll learn how to use some new and advanced modeling features to enhance your data models to carry out a wide variety of complex tasks. Additionally, you'll learn valuable best practices and explore common data modeling complications a ...
3D Environment Design with BlenderBlender is a powerful tool for creating all kinds of visual assets, but with such power comes complexity. Creating a photorealistic 3D scene seems like a Herculean task for more than 90% of 3D designers, but don't be discouraged! 3D Environment Design with Blender will get you up and running. This practical guide helps reduce the complexity of 3D environment design, advance your Blender skills, and produce lifelike scenes and animations in a time-efficient manner. You'll start by learning how to fix the most common mistakes 3D designers make with modeling and scale matching that stop them from achieving photorealism. Next, you'll understand the basics of realistic texturing, efficient unwrapping and achieving photorealistic lighting by turning an actual reference of a wood cabin into a realistic 3D scene. These skills will be used and expanded as you build a realistic 3D environment with natural assets and materials that you'll create from scratch. Once you've developed your natural en ...
Spring 6 Recipes, 5th EditionThis in-depth Spring-based Java developer code reference has been updated and now solves many of your Spring Framework 6 problems using reusable, complete and real-world working code examples. Spring 6 Recipes (5th Edition) now includes Spring Native which speeds up your Java-based Spring Framework built enterprise, native cloud, web applications and microservices. It also has been updated to now include Spring R2DBC for Reactive Relational Database Connectivity, a specification to integrate SQL databases, like PostgreSQL, MySQL and more, using reactive drivers.
Furthermore, this book includes additional coverage of WebFlux for more reactive Spring web applications. Reactive programming allows you to build systems that are resilient to high load, especially common in the more complex enterprise, native cloud applications that Spring Framework lets you build. This updated edition also uses code snippets and examples based on newest available standard long term support release of Java ...