pyetjesh

pyetjesh is a fictional programming language created to illustrate how natural-language questions might be integrated with data querying. It introduces a Python-like syntax augmented with a natural-language query layer that aims to let developers write readable questions that the runtime converts into structured data operations.

Origins and design goals: The concept emerged in educational materials exploring the gap between natural language questions and executable data queries. The project envisions a small core language that is statically typed for safety while allowing ad hoc natural-language fragments in special query blocks. It is intended to serve as a teaching aid and a design exercise rather than a production-ready tool.

Key features include: a data-binding model where datasets are bound to query contexts; a translation layer that parses questions into an intermediate representation; a simple runtime that executes against in-memory stores or external databases. The design emphasizes readability of queries, incremental evaluation, and a modular architecture that could be extended with data connectors and analytics libraries.

Example workflow: a programmer defines a dataset like sales and then asks, "What was the total revenue by region in 2024?" The system interprets the question and runs a corresponding aggregation against the bound data, returning a structured result.

Implementation notes: pyetjesh is described as an interpreter-driven language with a plugin architecture; it implements a small standard library and is designed to be embedded in Python projects. It remains a fictional construct used in tutorials and speculative design exercises, with no official standard or broad adoption.