Operating System Concepts, 10th EditionThe tenth edition of Operating System Concepts has been revised to keep it fresh and up-to-date with contemporary examples of how operating systems function, as well as enhanced interactive elements to improve learning and the students experience with the material. It combines instruction on concepts with real-world applications so that students can understand the practical usage of the content. End-of-chapter problems, exercises, review questions, and programming exercises help to further reinforce important concepts. New interactive self-assessment problems are provided throughout the text to help students monitor their level of understanding and progress. A Linux virtual machine (including C and Java source code and development tools) allows students to complete programming exercises that help them engage further with the material. ...
Security Designs for the Cloud, IoT, and Social NetworkingSecurity concerns around the rapid growth and variety of devices that are controlled and managed over the Internet is an immediate potential threat to all who own or use them. This book examines the issues surrounding these problems, vulnerabilities, what can be done to solve the problems, investigating the roots of the problems and how programming and attention to good security practice can combat the threats today that are a result of lax security processes on the Internet of Things, cloud computing and social media. ...
How To Code in Python 3Extremely versatile and popular among developers, Python is a good general-purpose language that can be used in a variety of applications. For those with an understanding of English, Python is a very humanreadable programming language, allowing for quick comprehension.
Learning the key concepts of Python can help you understand how programs work while also imparting foundational logic that can serve you in other domains. Understanding what Python and computer programming can offer you both as a user and as a developer is important as technology is further integrated into daily life. ...
Programming Machine LearningPeel away the obscurities of machine learning, starting from scratch and going all the way to deep learning. Machine learning can be intimidating, with its reliance on math and algorithms that most programmers don't encounter in their regular work. Take a hands-on approach, writing the Python code yourself, without any libraries to obscure what's really going on. Iterate on your design, and add layers of complexity as you go.
Build an image recognition application from scratch with supervised learning. Predict the future with linear regression. Dive into gradient descent, a fundamental algorithm that drives most of machine learning. Create perceptrons to classify data. Build neural networks to tackle more complex and sophisticated data sets. Train and refine those networks with backpropagation and batching. Layer the neural networks, eliminate overfitting, and add convolution to transform your neural network into a true deep learning system.
Start from the beginning and code your ...
Programming FlutterLearn Flutter, Google's multi-platform mobile development framework. Instantly view the changes you make to an app with stateful hot reload, and define a declarative UI in the same language as the app logic without having to use separate XML UI files. You can also reuse existing platform-specific Android and iOS code and interact with it in an efficient and simple way.
Use built-in UI elements - or build your own - to create a simple calculator app. Run native Java/Kotlin or Objective-C/Swift methods from your Flutter apps, and use a Flutter package to make HTTP requests to a Web API or to perform read and write operations on local storage. Apply visual effects to widgets, create transitions and animations, create a chat app using Firebase, and deploy everything on both platforms.
Get native look and feel and performance in your Android and iOS apps, and the ability to build for both platforms from a single code base. ...
The Data Science Design ManualThis engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an "Introduction to Data Science" course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Pra ...
Modeling and Simulation in PythonModeling and Simulation in Python is an introduction to physical modeling using a computational approach. It is organized in three parts: The first part presents discrete models, including a bikeshare system and world population growth; The second part introduces first-order systems, including models of infectious disease, thermal systems, and pharmacokinetics; The third part is about second-order systems, including mechanical systems like projectiles, celestial mechanics, and rotating rigid bodies.
Taking a computational approach makes it possible to work with more realistic models than what you typically see in a first-year physics class, with the option to include features like friction and drag.
Python is an ideal programming language for this material. It is a good first language for people who have not programmed before, and it provides high-level data structures that are well-suited to express solutions to the problems we are interested in. ...
Kotlin CookbookUse Kotlin to build Android apps, web applications, and more - while you learn the nuances of this popular language. With this unique cookbook, developers will learn how to apply thisJava-based language to their own projects. Both experienced programmers and those new to Kotlin will benefit from the practical recipes in this book.
Author Ken Kousen (Modern Java Recipes) shows you how to solve problems with Kotlin by concentrating on your own use cases rather than on basic syntax. You provide the contextand this book supplies the answers. Already big in Android development, Kotlin can be used anywhere Java is applied, as well as for iOS development, native applications, JavaScriptgeneration, and more. Jump in and build meaningful projects with Kotlin today.
Apply functional programming concepts, including lambdas, sequences, and concurrency; See how to use delegates, late initialization, and scope functions; Explore Java interoperability and access Java libraries using Kotlin; Add ...
Linux Observability with BPFBuild your expertise in the BPF virtual machine in the Linux kernel with this practical guide for systems engineers. You'll not only dive into the BPF program lifecycle but also learn to write applications that observe and modify the kernel's behavior; inject code to monitor, trace, and securely observe events in the kernel; and more.
Authors David Calavera and Lorenzo Fontana help you harness the power of BPF to make any computing system more observable. Familiarize yourself with the essential concepts you'll use on a day-to-day basis and augment your knowledge about performance optimization, networking, and security. Then see how it all comes together with code examples in C, Go, and Python.
Write applications that use BPF to observe and modify the Linux kernel's behavior on demand; Inject code to monitor, trace, and observe events in the kernel in a secure way - no need to recompile the kernel or reboot the system; Explore code examples in C, Go, and Python; Gain a more thorou ...
Arduino Cookbook, 3rd EditionWant to create devices that interact with the physical world? This cookbook is perfect for anyone who wants to experiment with the popular Arduino microcontroller and programming environment. You'll find more than 200 tips and techniques for building a variety of objects and prototypes such as IoT solutions, environmental monitors, location and position-aware systems, and products that can respond to touch, sound, heat, and light.
Updated for the Arduino 1.8 release, the recipes in this third edition include practical examples and guidance to help you begin, expand, and enhance your projects right away - whether you're an engineer, designer, artist, student, or hobbyist.
Get up to speed on the Arduino board and essential software concepts quickly; Learn basic techniques for reading digital and analog signals; Use Arduino with a variety of popular input devices and sensors; Drive visual displays, generate sound, and control several types of motors; Connect Arduino to wired and wir ...