Introduction to Blender 3.0Master the basics of 3D modeling for art, architecture, and design by exploring Blender 3.0. This book explains modeling, materials, lighting, painting, and more with Blender and other external tools.
You will configure a 3D architectural environment and set up the workflow of an art and design project within Blender. You will use Blender's main tools - mesh modeling and sculpting - to create virtual objects and environments. And, you will explore building materials and light scenes, followed by drawing and virtual painting. Chapters cover rendering scenes and transforming them into 2D images or videos. You will learn to use Blender 3.0 for video editing as a compositor and video sequence editor (VSE or sequencer) with a wide range of effects available through the nodal system.
On completing this book, you will have the knowledge to create art, design, and architecture with this 3D modeler. ...
Operating Systems and MiddlewareSuppose you sit down at your computer to check your email. One of the messages includes an attached document, which you are to edit. You click the attachment, and it opens up in another window. After you start editing the document, you realize you need to leave for a trip. You save the document in its partially edited state and shut down the computer to save energy while you are gone. Upon returning, you boot the computer back up, open the document, and continue editing.
This scenario illustrates that computations interact. In fact, it demonstrates at least three kinds of interactions between computations. In each case, one computation provides data to another. First, your email program retrieves new mail from the server, using the Internet to bridge space. Second, your email program provides the attachment to the word processor, using the operating system's services to couple the two application pro grams. Third, the invocation of the word processor that is running before your trip ...
The Design and Implementation of the Anykernel and Rump KernelsThe mission of the first edition of this book was to introduce the anykernel and rump kernels and motivate their existence. Additionally, we explored the characteristics of the technology through various experiments. The paramount, often criminally overlooked experiment was the one hiding in plain sight: is it possible to construct the system in a sustainable, real-world compatible fashion. That paramount experiment was shown to be a success, and that result has not changed since the original publication, only strengthened. The core technology is still almost identical to the one described in the original book.
This new edition has been written to account for the practical experiences from new use cases, many of which were proposed in the first edition, but which have since become reality.
To start off, we will look at operating systems in general: what one is, how they developed throughout history, where they are now, what the problem is, and why the time is now ripe for change. ...
Learning TypeScriptTypeScript has conquered the world of JavaScript: it's one of the world's fastest growing and most popular languages across developer surveys, widely used in consumer and business companies alike, and frequently credited for helping massive web applications scale. But what is TypeScript? How does it work, why does it work, and how can we use it?
Learning TypeScript takes beginner to intermediate JavaScript programmers from knowing nothing about "types" or a "type system" to full mastery of the fundamentals of TypeScript. It's more than a means to find bugs and typos - it's a useful system for declaring the way our JavaScript should work and helping us stick to it.
You'll learn how TypeScript: interacts with JavaScript; analyzes and understands code; augments your existing development pattern; helps you document your code; works with IDEs to provide refactoring tools; assists local development in refactoring code; helps you develop more quickly with fewer bugs. ...
Designing Machine Learning SystemsMachine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements.
Author Chip Huyen, co-founder of Claypot AI, considers each design decision-such as how to process and create training data, which features to use, how often to retrain models, and what to monitor-in the context of how it can help your system as a whole achieve its objectives. The iterative framework in this book uses actual case studies backed by ample references.
This book will help you tackle scenarios such as: Engineering data and choosing the right metrics to solve a business problem; Automating the process for continually developing, evaluating, deploying ...
SQL Server Advanced Troubleshooting and Performance TuningThis practical book provides a comprehensive overview of troubleshooting and performance tuning best practices for Microsoft SQL Server. Database engineers, including database developers and administrators, will learn how to identify performance issues, troubleshoot the system in a holistic fashion, and properly prioritize tuning efforts to attain the best system performance possible.
Author Dmitri Korotkevitch, Microsoft Data Platform MVP and Microsoft Certified Master (MCM), explains the interdependencies between SQL Server database components. You'll learn how to quickly diagnose your system and discover the root cause of any issue. Techniques in this book are compatible with all versions of SQL Server and cover both on-premises and cloud-based SQL Server installations.
Discover how performance issues present themselves in SQL Server; Learn about SQL Server diagnostic tools, methods, and technologies; Perform health checks on SQL Server installations; Learn the dependencies be ...
Inside Deep LearningInside Deep Learning is an accessible guide to implementing deep learning with the PyTorch framework. It demystifies complex deep learning concepts and teaches you to understand the vocabulary of deep learning so you can keep pace in a rapidly evolving field. No detail is skipped - you'll dive into math, theory, and practical applications. Everything is clearly explained in plain English.
Deep learning doesn't have to be a black box! Knowing how your models and algorithms actually work gives you greater control over your results. And you don't have to be a mathematics expert or a senior data scientist to grasp what's going on inside a deep learning system. This book gives you the practical insight you need to understand and explain your work with confidence.
Inside Deep Learning illuminates the inner workings of deep learning algorithms in a way that even machine learning novices can understand. You'll explore deep learning concepts and tools through plain language explanations, ...
Payara Micro RevealedDevelop, configure, and deploy Java cloud-native applications using Payara Micro. This book demystifies Java cloud-native application development using standard Microprofile APIs and covers Payara-specific features such as automatic clustering and application initialization performance improvements. You will learn how to improve startup performance by taking advantage of class data sharing, and configure cloud-native applications via standard development tools such as Maven and Gradle. The book also clarifies how to develop functionality necessary in a cloud environment, such as health checks and request tracing, using MicroProfile APIs.
The book begins by showing how to develop microservices using RESTful web services, followed by how to create microservice clients using MicroProfile and the REST client API. Dependency Injection via Jakarta Context and Dependency Injection (CDI) is also covered. Various approaches to application configuration are covered as well, including property ...
Git for Electronic Circuit DesignWork with Git and avoid dangerous mishaps in this popular, cooperative environment, even if you have no software engineering background or previous experience with Git. This book will teach you the basic principles of working cooperatively in Git with software engineers and other team members to handle issues the GUI can't.
You'll start by learning the fundamentals of the Git environment and commands. Concepts such as commits, branches, and Git organization are discussed. To avoid bogging you down with software terminology, advanced topics like setting up a Git server are ignored. Descriptions are worded to keep you away from technical specifications. Examples are presented in easily digestible text files and focus on realistic scenarios and concerns without delving into one-off or advanced, oddball situations. You can see the results without focusing on the jargon.
Once you understand the basics of Git, you'll design a digital system circuit using a computer aided design (CAD) ...
Developing High-Frequency Trading SystemsThe world of trading markets is complex, but it can be made easier with technology. Sure, you know how to code, but where do you start? What programming language do you use? How do you solve the problem of latency? This book answers all these questions. It will help you navigate the world of algorithmic trading and show you how to build a high-frequency trading (HFT) system from complex technological components, supported by accurate data.
Starting off with an introduction to HFT, exchanges, and the critical components of a trading system, this book quickly moves on to the nitty-gritty of optimizing hardware and your operating system for low-latency trading, such as bypassing the kernel, memory allocation, and the danger of context switching. Monitoring your system's performance is vital, so you'll also focus on logging and statistics. As you move beyond the traditional HFT programming languages, such as C++ and Java, you'll learn how to use Python to achieve high levels of performa ...