T Programming Language - index

T — The Orchestration Engine for Polyglot Data Science

T is an experimental orchestration engine designed for declarative, reproducible pipelines. It provides a functional Domain-Specific Language (DSL) that coordinates R, Python, Julia, and Shell nodes within a Nix-managed infrastructure.

Unlike traditional scripting languages, T is built to be a specifications-ready engine, making data analysis explicit, inspectable, and pipeline-oriented. This unique architecture ensures that humans and LLMs can collaborate on defining high-level intent while T handles the low-level orchestration and environmental consistency.

Status: Version 0.51.0 “Sangoku”, first public release.

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Documentation

Getting Started

• Getting Started Guide — first steps with T
• Installation Guide — detailed setup with Nix
• Language Overview — types, syntax, functions, and standard library
• Type System — detailed guide to T’s type hierarchy and semantics
• Numerical Arrays — tutorial on N-dimensional arrays and linear algebra
• Editor Support — setup guide for Vim, Emacs, and VS Code

User Guides

• API Reference — complete function reference by package
• Data Manipulation Examples — practical examples with core data verbs
• Factors & Categorical Data — factor creation, level ordering, and fct_* helpers
• String Manipulation — naming rules, examples, and exceptions for text helpers
• Pipeline Tutorial — step-by-step guide to T’s pipeline model
• Literate Programming with Quarto — rendering reports from pipelines
• Statistical Models — linear regression, GLMs, and broom-style output
• Handling Dates — parsing, extraction, and date arithmetic
• Error Handling Guide — error patterns and recovery strategies
• Comprehensive Examples — real-world analysis patterns

Advanced Topics

• Reproducibility Guide — Nix integration and reproducible workflows
• LLM Collaboration — intent blocks and AI-assisted development
• Quotation & Metaprogramming — capturing and generating code
• Statistical Formulas — formula syntax for modeling
• Performance — Arrow backend and optimization
• Performance Analysis — in-depth analysis of T’s performance metrics

Developer Resources

• Architecture — language design and implementation
• Contributing Guide — how to contribute to T
• Development Guide — building, testing, and debugging
• Project Development — managing T projects and workspaces
• Package Development Guide — creating and publishing T packages

Reference & Support

• Function Reference — exhaustive per-function guide
• FAQ — frequently asked questions
• Troubleshooting — common issues and solutions
• Changelog — history of changes and releases