R Books


Delta Lake: The Definitive Guide

Ready to simplify the process of building data lakehouses and data pipelines at scale? In this practical guide, learn how Delta Lake is helping data engineers, data scientists, and data analysts overcome key data reliability challenges with modern data engineering and management techniques. Authors Denny Lee, Tristen Wentling, Scott Haines, and Pra

The Little ASP.NET Core Book

ASP.NET

If you're new to programming, this book will introduce you to thepatterns and concepts used to build modern web applications. You'lllearn how to build a web app (and how the big pieces fit together) by building something from scratch! While this little book won't be able tocover absolutely everything you need to know about programming, it'llgive yo

Retrieval-Augmented Generation in Production with Haystack

Python

In today's rapidly changing AI technology environment, software engineers often struggle to build real-world applications with large language models (LLM). The benefits of incorporating open source LLMs into existing workflows is often offset by the need to create custom components. That's where Haystack comes in. This open source framework is a co

Inventory Analytics

Python

Inventory Analytics provides a comprehensive and accessible introduction to the theory and practice of inventory control - a significant research area central to supply chain planning. The book outlines the foundations of inventory systems and surveys prescriptive analytics models for deterministic inventory control. It further discusses predictive

First Semester in Numerical Analysis with Julia

Julia Analysis

First Semester in Numerical Analysis with Julia presents the theory and methods, together with the implementation of the algorithms using the Julia programming language. The open access book covers computer arithmetic, root-finding, numerical quadrature and differentiation, and approximation theory. The reader is expected to have studied calculus a

Practical Machine Learning

Python

The book provides an accessible, comprehensive introduction for beginners to machine learning, equipping them with the fundamental skills and techniques essential for this field. It enables beginners to construct practical, real-world solutions powered by machine learning across diverse application domains. It demonstrates the fundamental technique

Statistical Foundations of Actuarial Learning and its Applications

This open access book discusses the statistical modeling of insurance problems, a process which comprises data collection, data analysis and statistical model building to forecast insured events that may happen in the future. It presents the mathematical foundations behind these fundamental statistical concepts and how they can be applied in daily

GNU SED

Linux Unix Bash

This open access book employs a practical, example-driven approach to introduce the features of sed and regular expressions incrementally. The author strongly advises readers to manually type and experiment with each example, emphasizing that a thorough understanding of both the sample input and the resulting output is critical for comprehension. T

Resilient Web Design

Jeremy Keith begins by noting that the title Resilient Web Design might suggest a handbook for building robust websites, but clarifies that it is not a handbook - it is more like a history book. The text observes that in the world of web design, attention is mostly focused on the present. When designers look beyond the moment, it is usually to imag

Git Internals

Git

It took me a pretty long time to really get Git. As I've continued to use Git more and more where I work, I've found myself trying to teach people what it is and why we use it over and over again, and the reality is that Git generally has a pretty steep learning curve compared to many other systems. I've seen case after case of developers who love