Hands-On Unity 2021 Game Development. Create, customize, and optimize your own professional games from scratch with Unity 2021 - Second Edition

Nicolas Alejandro Borromeo

Learning how to use Unity is the quickest way to creating a full game, but that’s not all you can do with this simple, yet comprehensive suite of video game development tools – Unity is just as useful for creating AR/VR experiences, complex simulations, real-time realistic rendering, films, and practical games for training and education. Hands-On Unity 2021 Game Development outlines a practical journey to creating your first full game from the ground up, building it step-by-step and applying your knowledge as you progress.Complete with hands-on tutorials and projects, this easy-to-follow guide will teach you how to develop the game using several Unity tools. As you advance, you will learn how to use the Unity engine, create simple scripts using C#, integrate graphics, sound, and animations, and manipulate physics to create interesting mechanics for your game. You’ll be able to apply all the knowledge that you gain to a real-world game. Later chapters will show you how to code a simple AI agent to challenge the user and use profiling tools to ensure that the code runs efficiently. Finally, you'll work with Unity's AR tools to create AR experiences for 3D apps and games.By the end of this Unity book, you will have created a complete game and built a solid foundation in using a wide variety of Unity tools.

Bioinformatics with Python Cookbook. Use modern Python libraries and applications to solve real-world computational biology problems - Third Edition

Tiago Antao

Bioinformatics is an active research field that uses a range of simple-to-advanced computations to extract valuable information from biological data, and this book will show you how to manage these tasks using Python.This updated third edition of the Bioinformatics with Python Cookbook begins with a quick overview of the various tools and libraries in the Python ecosystem that will help you convert, analyze, and visualize biological datasets. Next, you'll cover key techniques for next-generation sequencing, single-cell analysis, genomics, metagenomics, population genetics, phylogenetics, and proteomics with the help of real-world examples. You'll learn how to work with important pipeline systems, such as Galaxy servers and Snakemake, and understand the various modules in Python for functional and asynchronous programming. This book will also help you explore topics such as SNP discovery using statistical approaches under high-performance computing frameworks, including Dask and Spark. In addition to this, you’ll explore the application of machine learning algorithms in bioinformatics.By the end of this bioinformatics Python book, you'll be equipped with the knowledge you need to implement the latest programming techniques and frameworks, empowering you to deal with bioinformatics data on every scale.

GitHub Actions Cookbook. A practical guide to automating repetitive tasks and streamlining your development process

Michael Kaufmann

Say goodbye to tedious tasks! GitHub Actions is a powerful workflow engine that automates everything in the GitHub ecosystem, letting you focus on what matters most.This book explains the GitHub Actions workflow syntax, the different kinds of actions, and how GitHub-hosted and self-hosted workflow runners work. You’ll get tips on how to author and debug GitHub Actions and workflows with Visual Studio Code (VS Code), run them locally, and leverage the power of GitHub Copilot. The book uses hands-on examples to walk you through real-world use cases that will help you automate the entire release process. You’ll cover everything, from automating the generation of release notes to building and testing your software and deploying securely to Azure, Amazon Web Services (AWS), or Google Cloud using OpenID Connect (OIDC), secrets, variables, environments, and approval checks.The book goes beyond CI/CD by demonstrating recipes to execute IssueOps and automate other repetitive tasks using the GitHub CLI, GitHub APIs and SDKs, and GitHub Token. You’ll learn how to build your own actions and reusable workflows to share building blocks with the community or within your organization.By the end of this GitHub book, you'll have gained the skills you need to automate tasks and work with remarkable efficiency and agility.

Cloud Development and Deployment with CloudBees. Develop and deploy your Java application onto the cloud using CloudBees

Nicolas De loof

CloudBees offers a Platform as a Service (PaaS) to build, run, manage web applications, and support the entire application lifecycle right from development to deployment.The development and deployment of web- and mobile-based Java applications are the basic services that CloudBees has to offer. With these services you can efficiently build and enhance applications, and connect them to existing networks and systems.Cloud Development and Deployment with CloudBees introduces you to the concept of Platform as a Service. It talks about the services in detail that developers can leverage in order to build, manage, and deploy their applications with ease onto the cloud. You will learn the intricacies of the CloudBees ecosystem and how it can be extended to match your specific requirements.Cloud Development and Deployment with CloudBees will get you started with the concepts of PaaS and why it is considered better than other forms of services. You will then learn to create and manage your account, understand the CloudBees ecosystem, and subscribe to the wide array of services available. After this, you will use the clickStart feature that will enable you to set up, run, and host your application on the cloud. You will also venture out into the development phase by understanding Jenkins and how it would help you to build, maintain, and integrate your project build. You will then learn how to use the RUN@CLOUD platform to host your application, and you will also delve into cloud concepts, and understand the architectural constraints and how to monitor the application. Finally, you will deep dive into the extensive capabilities of using clickStack to create or customize your own stack.

Apps and Services with .NET 7. Build practical projects with Blazor, .NET MAUI, gRPC, GraphQL, and other enterprise technologies

Mark J. Price

Apps and Services with .NET 7 is for .NET 6 and .NET 7 developers who want to kick their C# and .NET understanding up a gear by learning the practical skills and knowledge they need to build real-world applications and services. It covers specialized libraries that will help you monitor and improve performance, secure your data and applications, and internationalize your code and apps.With chapters that put a variety of technologies into practice, including Web API, OData, gRPC, GraphQL, SignalR, and Azure Functions, this book will give you a broader scope of knowledge than other books that often focus on only a handful of .NET technologies. It covers the latest developments, libraries, and technologies that will help keep you up to date.You’ll also leverage .NET MAUI to develop mobile apps for iOS and Android as well as desktop apps for Windows and macOS.

Python Data Cleaning and Preparation Best Practices. A practical guide to organizing and handling data from various sources and formats using Python

Maria Zervou

Professionals face several challenges in effectively leveraging data in today's data-driven world. One of the main challenges is the low quality of data products, often caused by inaccurate, incomplete, or inconsistent data. Another significant challenge is the lack of skills among data professionals to analyze unstructured data, leading to valuable insights being missed that are difficult or impossible to obtain from structured data alone.To help you tackle these challenges, this book will take you on a journey through the upstream data pipeline, which includes the ingestion of data from various sources, the validation and profiling of data for high-quality end tables, and writing data to different sinks. You’ll focus on structured data by performing essential tasks, such as cleaning and encoding datasets and handling missing values and outliers, before learning how to manipulate unstructured data with simple techniques. You’ll also be introduced to a variety of natural language processing techniques, from tokenization to vector models, as well as techniques to structure images, videos, and audio.By the end of this book, you’ll be proficient in data cleaning and preparation techniques for both structured and unstructured data.

Microsoft Azure: Enterprise Application Development. Straight talking advice on how to design and build enterprise applications for the cloud

Richard J. Dudley, Nathan A. Duchene, Richard James Dudley, Nathan Duchene

Microsoft's Azure platform has proved itself to be a highly scalable and highly available platform for enterprise applications. Despite a familiar development model, there is a difference between developing for Azure and moving applications and data into the cloud. You need to be aware of how to technically implement large-scale elastic applications. In this book, the authors develop an Azure application and discuss architectural considerations and important decision points for hosting an application on Azure.This book is a fast-paced introduction to all the major features of Azure, with considerations for enterprise developers. It starts with an overview of cloud computing in general, followed by an overview of Microsoft's Azure platform, and covers Windows Azure, SQL Azure, and AppFabric, discussing them with the help of a case-study.The book guides you through setting up the tools needed for Azure development, and outlines the sample application that will be built in the later chapters. Each subsequent chapter focuses on one aspect of the Azure platform—web roles, queue storage, SQL Azure, and so on—discussing the feature in greater detail and then providing a programming example by building parts of the sample application. Important architectural and security considerations are discussed with each Azure feature.The authors cover topics that are important to enterprise development, such as transferring data from an on-premises database to SQL Azure using SSIS, securing an application using AppFabric access control, blob and table storage, and asynchronous messaging using Queue Storage. Readers will learn to leverage the use of queues and worker roles for the separation of responsibilities between web and worker roles, enabling linear scale out of an Azure application through the use of additional instances. A truly elastic application is one that can be scaled up or down quickly to match resources to demand as well as control costs; with the practices in this book you will achieve application elasticity.

Building Data Science Solutions with Anaconda. A comprehensive starter guide to building robust and complete models

Dan Meador, Kevin Goldsmith

You might already know that there's a wealth of data science and machine learning resources available on the market, but what you might not know is how much is left out by most of these AI resources. This book not only covers everything you need to know about algorithm families but also ensures that you become an expert in everything, from the critical aspects of avoiding bias in data to model interpretability, which have now become must-have skills.In this book, you'll learn how using Anaconda as the easy button, can give you a complete view of the capabilities of tools such as conda, which includes how to specify new channels to pull in any package you want as well as discovering new open source tools at your disposal. You’ll also get a clear picture of how to evaluate which model to train and identify when they have become unusable due to drift. Finally, you’ll learn about the powerful yet simple techniques that you can use to explain how your model works.By the end of this book, you’ll feel confident using conda and Anaconda Navigator to manage dependencies and gain a thorough understanding of the end-to-end data science workflow.