The Software System Design and Modeling enables us to view software in terms of a system. When designing a system, we start with the system requirement and then translate the system requirement to a real product. By using the concept presented in this book, we can design and model a system from the system requirement and then produce the UML model of the system before starting coding. Some key topics discussed in this book include multiple views of a system, requirement interpretation, requirement application, requirement duplication, system function and problem solved by system, agile and scrum methodology, fixed system requirement and non-fixed requirement, incremental software development process, and more. Using the tools from the book, you can develop a system with a full lifecycle. As time goes on, the tools from the book make it possible to update parts of the system that need to be updated without any frustration rather than reinventing the wheel.

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

The third volume in a new series exploring the basics of Raspberry Pi Operating System administration, this installment builds on the insights from Volumes 1 and 2 to provide a compendium of easy-to-use and essential guidance for Raspberry Pi system administration for novice users, with specific focus on Text Editors, git/ GitHub, and LXC/LXD. The overriding idea behind system administration of a modern, 21st-century Linux system, such as the Raspberry Pi OS, is the use of systemd to ensure that the Linux kernel works efficiently and effectively to provide these three foundation stones of computer operation and management: computer system concurrency, virtualization, and secure persistence. This third volume includes a beginner’s compendium of essential text-based Linux commands, a complete tutorial on the most important Raspberry Pi OS Text Editors, a description of uses of the git command, and a thorough explication of container virtualization with LXC/LXD and Docker. This book is aimed at students and practitioners looking to maximize their use of the Raspberry Pi OS. With plenty of practical examples, projects, and exercises, this volume can also be adopted in a more formal learning environment to supplement and extend the basic knowledge of a Linux operating system.