R Books


Introduction to Data Science Using Python

Python

Data science is the process of representing models that fit data. Its goal is to predict future output based on past observations of inputs. In data science, one collects information and interprets it to make decisions. This open book contains two parts, the first is designed to be used in an introductory programming course for students looking to

Solving Ordinary Differential Equations in Python

Python

This open access volume explains the foundations of modern solvers for ordinary differential equations (ODEs). Formulating and solving ODEs is an essential part of mathematical modeling and computational science, and numerous solvers are available in commercial and open source software. However, no single ODE solver is the best choice for every sin

The Linux Kernel Module Programming Guide

Linux

The Linux Kernel Module Programming Guide is a comprehensive and practical resource for developers looking to dive into Linux kernel module development. Written by experienced contributors, this guide covers essential concepts, from writing simple "Hello World" modules to advanced topics like character device drivers, system calls, and synchronizat

OpenShift for .NET Developers

.NET Openshift

The open source revolution and containerization have fundamentally transformed the .NET landscape. No longer confined to the Windows ecosystem, your .NET skills are now the direct path to building powerful applications directly on OpenShift. OpenShift for .NET Developers is your essential guide to becoming a first-class citizen in the OpenShift wor

The DSC Book

The DSC Book is a comprehensive and continually evolving guide to Microsoft's Desired State Configuration (DSC) technology. Authored by Don Jones and Steve Murawski, this mini book demystifies the powerful declarative platform designed for automating the configuration and management of infrastructure across on-premises and cloud environments. It co

You Don't Know JS: Up & Going

JavaScript

It's easy to learn parts of JavaScript, but much harder to learn it completely - or even sufficiently - whether you're new to the language or have used it for years. With the "You Don't Know JS" book series, you'll get a more complete understanding of JavaScript, including trickier parts of the language that many experienced JavaScript programmers

You Don't Know JS Yet: Get Started, 2nd Edition

JavaScript

The worldwide best selling You Don't Know JS book series is back for a 2nd edition: You Don't Know JS Yet. All 6 books are brand new, rewritten to cover all sides of JS for 2020 and beyond. You'll still get in-depth coverage of the core language, applied in useful code organization patterns for your programs. And of course, through Kyle's unique pe

C++ Hacker's Guide

C / C++

An experienced programmer accumulates a set of tools, tricks, and techniques to make his or her programs better. C++ Hacker's Guide collects more than 120 of the best C++ veteran secrets and puts them in one accessible place. The techniques presented have all been used in actual programs, and more importantly, have made actual programs better. Full

Think Stats, 3rd Edition

Analysis Python

If you know how to program, you have the skills to turn data into knowledge. This thoroughly revised edition presents statistical concepts computationally, rather than mathematically, using programs written in Python. Through practical examples and exercises based on real-world datasets, you'll learn the entire process of exploratory data analysis

Tidy Modeling with R

R

Get going with tidymodels, a collection of R packages for modeling and machine learning. Whether you're just starting out or have years of experience with modeling, this practical introduction shows data analysts, business analysts, and data scientists how the tidymodels framework offers a consistent, flexible approach for your work. RStudio engine