Taking SketchUp Pro to the Next Level. Go beyond the basics and develop custom 3D modeling workflows to become a SketchUp ninja

Aaron Dietzen aka 'The SketchUp Guy'

Anyone who’s worked with it will know that SketchUp is the quickest and easiest way to create 3D models. While its approachable interface makes it super easy to learn, this book will show you how the extremely capable SketchUp software can take you far beyond what you may have initially thought possible. Get ready to level up from a basic user to becoming a SketchUp ninja!Each chapter will take you through the capabilities of SketchUp, challenging you to use tools in innovative ways. This includes organizing your model, modifying native commands, customizing your interface, utilizing inferencing, and much more. Additionally, you’ll learn about the extensions that can be added to SketchUp to supplement the tools you have been using, allowing you to make your 3D modeling process quicker, easier, and more powerful.By the end of this SketchUp book, you’ll have an enhanced understanding of how to use the impressive range of tools and be on your way to customizing SketchUp for your one-of-a-kind workflow.

Apache Flume: Distributed Log Collection for Hadoop. If your role includes moving datasets into Hadoop, this book will help you do it more efficiently using Apache Flume. From installation to customization, it's a complete step-by-step guide on making the service work for you

Steve Hoffman, Steven Hoffman, Kevin A. McGrail

Apache Flume is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data. Its main goal is to deliver data from applications to Apache Hadoop's HDFS. It has a simple and flexible architecture based on streaming data flows. It is robust and fault tolerant with many failover and recovery mechanisms.Apache Flume: Distributed Log Collection for Hadoop covers problems with HDFS and streaming data/logs, and how Flume can resolve these problems. This book explains the generalized architecture of Flume, which includes moving data to/from databases, NO-SQL-ish data stores, as well as optimizing performance. This book includes real-world scenarios on Flume implementation.Apache Flume: Distributed Log Collection for Hadoop starts with an architectural overview of Flume and then discusses each component in detail. It guides you through the complete installation process and compilation of Flume.It will give you a heads-up on how to use channels and channel selectors. For each architectural component (Sources, Channels, Sinks, Channel Processors, Sink Groups, and so on) the various implementations will be covered in detail along with configuration options. You can use it to customize Flume to your specific needs. There are pointers given on writing custom implementations as well that would help you learn and implement them.By the end, you should be able to construct a series of Flume agents to transport your streaming data and logs from your systems into Hadoop in near real time.

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.

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.