A complete, practical engineering guide to building a programming language from the ground up — using a real, working project (MultiLang Engine) as a case study throughout. The guide walks through what a language implementation actually is architecturally (lexing, keyword resolution, parsing, evaluation), then breaks down MultiLang Engine's own design: a multi-dialect interpreter that lets the same engine understand English, Hinglish, Punjabi, Sanskrit, and Gen Z slang by treating keywords as swappable, user-editable data rather than hard-coded tokens.
From there it moves into a hands-on build guide for creating your own interpreter step by step — designing your instruction set, building the keyword/grammar layer, implementing the core dispatch loop (print, assignment, conditionals, loops, input), and wiring up a CLI and REPL.
The second half covers turning that interpreter into a real, installable tool: packaging it with setup.py and MANIFEST.in, building distribution files, and publishing to PyPI both manually with Twine and via automated GitHub Actions releases using PyPI's Trusted Publishing. It closes with a list of common pitfalls (missing data files, version conflicts, eval() safety, keyword collisions, platform differences) and concrete ideas for extending the project further — plus a summary checklist and further reading for anyone who wants to go deeper into interpreter and compiler design.
You can see the guide on my Github Accoun => https://github.com/gurtej9602/MultiLangEngine/blob/main/README.md
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