A guide to Linux, starting with terms and definitions and progressing through various topics such as processes, the filesystem, and networking.
Ten Steps to Linux Survival
A guide to Bash in the context of Linux, covering the operation of the shell, useful commands, and some history.
"This series of documents attempts to provide a correct introduction to the Domain Name System as of 2018. The original RFCs remain the authoritative source of normative text, but this document tries to make this venerable protocol more accessible, while maintaining full alignment with all relevant and useful RFCs."
Dive Into HTML5
"Seeks to elaborate on a hand-picked Selection of features from the HTML5 specification and other fine Standards."
"This book contains everything you need to implement a full-featured, efficient scripting language."
The C Book
"Designed for programmers who already have some experience of using a modern high-level procedural programming language. The book will assume that its readers have already done battle with the notions of statements, variables, conditional execution, arrays, procedures (or subroutines) and so on."
"Discusses the C language in depth from a low-level programmer's perspective. You will get familiar with how Unix-like systems execute code, how C code is translated to assembly (and later, trivially, to machine language), and such advanced topics."
Learn You Some Erlang
"A way to learn Erlang for people who have basic knowledge of programming in imperative languages (such as C/C++, Java, Python, Ruby, etc) and may or may not know functional programming."
Learn You A Haskell
A tutorial for the Haskell language aimed at those with some prior programming experience.
R for Data Science
"This book will teach you how to do data science with R: You’ll learn how to get your data into R, get it into the most useful structure, transform it, visualise it and model it."
"A series of interactive lessons and exercises designed to help you quickly learn SQL right in your browser."
"Comes with everything you need to understand complete systems such as SSL/TLS: block ciphers, stream ciphers, hash functions, message authentication codes, public key encryption, key agreement protocols, and signature algorithms."
"A resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular."