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Informal Languages

Informal languages refer to programming languages or notations that lack formal specifications, rigorous syntax rules, or standardized implementations, often used for prototyping, education, or domain-specific tasks. They include pseudocode, domain-specific languages (DSLs), scripting languages in early stages, and ad-hoc notations for algorithm description or system modeling. Unlike formal languages like Java or Python, they prioritize expressiveness and ease of use over strict correctness and tooling support.

Also known as: Pseudocode, DSLs, Ad-hoc languages, Prototyping languages, Notational languages
🧊Why learn Informal Languages?

Developers should learn about informal languages to improve communication, prototyping, and problem-solving in early project phases, such as when drafting algorithms with pseudocode or creating quick scripts for data analysis. They are useful in education for teaching programming concepts without syntax overhead, and in specialized fields like scientific computing or game development where custom DSLs can streamline workflows. However, they should be complemented with formal languages for production systems to ensure reliability and maintainability.

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