learn-tt gathers resources for learning type theory, a fascinating field bridging mathematics and computer science. This repository aims to provide a curated starting point for individuals seeking to understand type theory and its applications. The core problem it addresses is the difficulty in navigating the vast landscape of type theory literature and finding effective learning materials.
This repository offers a diverse collection of resources for various learning styles and experience levels. It features links to widely respected textbooks, practical proof assistants, and foundational papers. The selection emphasizes resources with strong introductory material and accessibility. The inclusion of a personal textbook draft supplements the list.
- Textbooks: Provides comprehensive surveys and in-depth explorations of type theory, foundational programming languages, and advanced topics. Includes online and print options for accessibility.
- Proof Assistants: Offers links to major proof assistants like Coq, Lean, Agda, Idris, and Twelf, each with distinct strengths and learning curves.
- Foundational Papers: Includes links to seminal papers related to type theory and dependent type systems, covering advanced topics and historical context.
- Accessibility: Prioritizes resources with online availability and supplementary materials like tutorials and manuals.
- Community: Links to official websites and active communities for support and further exploration.
The repository has been maintained for several years and contains a growing collection of resources. The links are generally reliable, but some material may be outdated. The author acknowledges the evolving nature of type theory and encourages exploration beyond the listed resources. The inclusion of the author's own textbook indicates ongoing engagement with the field.
This repository benefits students, researchers, and industry professionals seeking to learn about type theory. It addresses the challenge of finding quality learning materials by providing a curated list of resources. It offers value by streamlining the discovery process and providing a starting point for exploring this important area of computer science, offering both theoretical foundations and practical tools.