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Numerical Methods for Ordinary Differential Equations
Numerical Methods for Ordinary Differential Equations

In this book we discuss several numerical methods for solving ordinary differential equations. We emphasize the aspects that play an important role in practical problems. We con?ne ourselves to ordinary differential equations with the exception of the last chapter in which we discuss the heat equation, a parabolic partial differential equation. The techniques discussed in the intro-ductory chapters, for instance interpolation, numerical quadrature and the solution to nonlinear equations, may also be used outside the context of differential equations. They have been in-cluded to make the book self-contained as far as the numerical aspects are concerned. Chapters, sections and exercises marked with a * are not part of the Delft Institutional Package. The numerical examples in this book were implemented in Matlab, but also Python or any other programming language could be used. A list of references to background knowledge and related literature can be found at the end of this book. ...
Generative Deep Learning, 2nd Edition
Generative Deep Learning, 2nd Edition

Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models. The book starts with the basics of deep learning and progresses to cutting-edge architectures. Through tips and tricks, you'll understand how to make your models learn more efficiently and become more creative. Discover how VAEs can change facial expressions in photos; Train GANs to generate images based on your own dataset; Build diffusion models to produce new varieties of flowers; Train your own GPT for text generation; Learn how large language models like ChatGPT are trained; Explore state-of-the-art architectures such as StyleGAN2 and ViT-VQGAN; Compose polyphonic music using Transformers and Mu ...
Data Management at Scale, 2nd Edition
Data Management at Scale, 2nd Edition

As data management continues to evolve rapidly, managing all of your data in a central place, such as a data warehouse, is no longer scalable. Today's world is about quickly turning data into value. This requires a paradigm shift in the way we federate responsibilities, manage data, and make it available to others. With this practical book, you'll learn how to design a next-gen data architecture that takes into account the scale you need for your organization. Executives, architects and engineers, analytics teams, and compliance and governance staff will learn how to build a next-gen data landscape. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. Examine data management trends, including regulatory requirements, privacy concerns, and new developments such as data mesh and data fabric; Go deep into building a modern data architecture, including cloud data landing zones, domain-driven design, data produc ...
Learning JavaScript Design Patterns, 2nd Edition
Learning JavaScript Design Patterns, 2nd Edition

Do you want to write beautiful, structured, and maintainable JavaScript by applying modern design patterns to the language? Do you want clean, efficient, manageable code? Want to stay up-to-date with the latest best practices? If so, the updated second edition of Learning JavaScript Design Patterns is the ideal place to start. Author Addy Osmani shows you how to apply modern design patterns to JavaScript and React - including modules, mixins, observers, and mediators. You'll learn about performance and rendering patterns such as server-side rendering and Islands architecture. You'll also learn how architectural patterns like MVC, MVP, and MVVM are useful from the perspective of a modern web application developer. This book explores: Architectural patterns for structuring your components and apps; More than 20 design patterns in JavaScript and React, applicable for developers at any level; Different pattern categories including creational, structural, and behavioral; Essential per ...
Design for Learning
Design for Learning

Our purpose in this book is twofold. First, we introduce the basic skill set and knowledge base used by practicing instructional designers. We do this through chapters contributed by experts in the field who have either academic, research-based backgrounds, or practical, on-the-job experience (or both). Our goal is that students in introductory instructional design courses will be able to use this book as a guide for completing a basic instructional design project. We also hope the book is useful as a ready resource for more advanced students or others seeking to develop their instructional design knowledge and skills. Our second purpose complements the first: to introduce instructional designers to some of the most current views on how the practices of design thinking contribute towards the development of effective and engaging learning environments. While some previous books have incorporated elements of design thinking (for example, processes like prototyping), to date no instruc ...
Mastering Linux Security and Hardening, 3rd Edition
Mastering Linux Security and Hardening, 3rd Edition

The third edition of Mastering Linux Security and Hardening is an updated, comprehensive introduction to implementing the latest Linux security measures, using the latest versions of Ubuntu and AlmaLinux. In this new edition, you will learn how to set up a practice lab, create user accounts with appropriate privilege levels, protect sensitive data with permissions settings and encryption, and configure a firewall with the newest firewall technologies. You'll also explore how to use sudo to set up administrative accounts with only the privileges required to do a specific job, and you'll get a peek at the new sudo features that have been added over the past couple of years. You'll also see updated information on how to set up a local certificate authority for both Ubuntu and AlmaLinux, as well as how to automate system auditing. Other important skills that you'll learn include how to automatically harden systems with OpenSCAP, audit systems with auditd, harden the Linux kernel configurat ...
Mastering Windows Server 2022, 4th Edition
Mastering Windows Server 2022, 4th Edition

Written by a 10-time Microsoft MVP award winner with over 20 years of IT experience, Mastering Windows Server 2022 is a hands-on guide to administer any Windows Server environment. Whether new to the server world or working to keep your existing skills sharp, this book aims to be referenced on a regular basis instead of gathering dust on your shelf. Updated with Server 2022 content, this book covers a wide variety of information pertaining to your role as a server administrator. We will expand upon versions and licensing models for this OS, and explore the 'single pane of glass' administration methodology by utilizing tools like Server Manager, PowerShell, and even Windows Admin Center. This book is primarily focused on Windows Server 2022 LTSC version, but follow along as we discuss the latest news for SAC server releases as this impacts Containers, Nano Server, and general OS release cadence. This book covers a range of remote access technologies, and even teaches management of PKI a ...
Expert Data Modeling with Power BI, 2nd Edition
Expert Data Modeling with Power BI, 2nd Edition

This 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 ...
Geospatial Analysis with SQL
Geospatial Analysis with SQL

Geospatial analysis is industry agnostic and a powerful tool for answering location questions. Combined with the power of SQL, developers and analysts worldwide rely on database integration to solve real-world spatial problems. This book introduces skills to help you detect and quantify patterns in datasets through data exploration, visualization, data engineering, and the application of analysis and spatial techniques. You will begin by exploring the fundamentals of geospatial analysis where you'll learn about the importance of geospatial analysis and how location information enhances data exploration. Walter Tobler's second law of geography states, "the phenomenon external to a geographic area of interest affects what goes on inside." This quote will be the framework of the geospatial questions we will explore. You'll then observe the framework of geospatial analysis using SQL while learning to create spatial databases and SQL queries and functions. By the end of this book, you will ...
Managing Cloud Native Data on Kubernetes
Managing Cloud Native Data on Kubernetes

Is Kubernetes ready for stateful workloads? This open source system has become the primary platform for deploying and managing cloud native applications. But because it was originally designed for stateless workloads, working with data on Kubernetes has been challenging. If you want to avoid the inefficiencies and duplicative costs of having separate infrastructure for applications and data, this practical guide can help. Using Kubernetes as your platform, you'll learn open source technologies that are designed and built for the cloud. Authors Jeff Carpenter and Patrick McFadin provide case studies to help you explore new use cases and avoid the pitfalls others have faced. You'll get an insider's view of what's coming from innovators who are creating next-generation architectures and infrastructure. - Learn how to use basic Kubernetes resources to compose data infrastructure - Automate the deployment and operations of data infrastructure on Kubernetes using tools like Helm and o ...
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