Programming and computer science

MIT's introductory computer science text, taught through Lisp and Scheme.

Essays on open-source software and its model of collaborative development.

How Linux came to be developed, and how its creator thinks.

The reporting history of Linux and the businesses built around it.

Political economy of production without conventional property.

A novel in which an IT manager rescues a failing project using lessons from The Goal.

How open-source software is really made and maintained, often by a few people.

Richard Stallman, the free software movement and the GPL licence he wrote.

Subtitled 'Big Ideas from the Computer Age'; collects early essays

How to run an open source project, its community and its sponsors.

Software's enemy is complexity, which grows through shallow modules and shortcuts.

Rules for readable code: short functions, clear names, one level of abstraction.

A catalogue of moves that improve existing code without changing what it does.

A programmer's craft: when code is good enough and what to automate.

Lessons from IBM's OS/360: why adding people to a late software project slows it.

Interviews with leading programmers on the forces and traits behind their work.

Out of print; Graham distributes it free as a PDF

Techniques for designing data structures in functional languages, with examples.

Tips and tools for securing Linux, Windows, BSD and Mac servers and networks.

Practical Lisp programming, from language features to projects like an mp3 server.

Cognitive science and learning theory applied to thinking and learning better.

Mechanisms for writing parallel and concurrent programs in Haskell.

The official guide to the Nmap scanner, from port-scanning basics to pen testing.

Operating system principles, from processes to file systems, shown in the MINIX code.

The theory, techniques and uses of partial evaluation, which specialises programs.

Essays on software design, programming and the businesses around them.

How to prepare for programming job interviews: languages, patterns and algorithms.

The standard guide to the Perl programming language.

Quantum algorithms, teleportation, cryptography and error correction, from basics.