R Books

GitOps delivers on the vision promised to a DevOps culture, and while the practice isn't new, organizations are starting to realize how valuable it is to deliver products in a fast, highly automated, and secure way - without compromising the quality of their code. This book outlines the tools, workflows, and structures that teams need to have in pl

Principles of Data Science is intended to support one- or two-semester courses in data science. It is appropriate for data science majors and minors as well as students concentrating in business, finance, health care, engineering, the sciences, and a number of other fields where data science has become critically important. The authors have include

The 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

Hacking games requires a unique combination of reversing, memory management, networking, and security skills. Even as ethical hacking has exploded in popularity, game hacking still occupies a very small niche in the wider security community. While it may not have the same headline appeal as a Chrome 0day or a massive data leak, the unique feeling o

If you know how to program with Python and also know a little about probability, you're ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical notation, and use discrete probability distributions instead of continuous mathematics. Once you get the math out of the

This unique open access book applies the functional OCaml programming language to numerical or computational weighted data science, engineering, and scientific applications. This book is based on the authors' first-hand experience building and maintaining Owl, an OCaml-based numerical computing library. You'll first learn the various components in

The Shallow and the Deep is a collection of lecture notes that offers an accessible introduction to neural networks and machine learning in general. However, it was clear from the beginning that these notes would not be able to cover this rapidly changing and growing field in its entirety. The focus lies on classical machine learning techniques, wi

This book not only tells the stories of some of the seminal video games of the 1980s, but shows you how to create your own games inspired by them, following examples programmed by Andrew Gillett, ably assisted by Raspberry Pi co-founder and CEO Eben Upton along with Sean M. Tracey. In this book, you'll learn how to run and edit the games in this bo

This free book explores the fundamentals of computer music and functional programming through the Haskell programming language. Functional programming is typically considered difficult to learn. This introduction in the context of creating music will allow students and professionals with a musical inclination to leverage their experience to help un

Podman in Action shows you how to deploy containerized applications on Linux, Windows, and MacOS systems using Podman. Written by Daniel Walsh, who leads the Red Hat Podman team, this book teaches you how to securely manage the entire application lifecycle without human intervention. You'll quickly get to grips with Podman's unique advantages over