Learn ML with Real Code Examples
Updated Nov 20, 2025
Monetization
Academic research
Compiler and language tool development
Formal verification consulting
Educational material for functional programming
Custom symbolic computation solutions
Future Roadmap
Increased adoption in formal methods
Integration with theorem proving and verification tools
Enhanced tooling and IDE support
Modern variants like OCaml and F# evolve
Continued academic relevance
When Not To Use
GUI-heavy applications
Web development (without bindings)
Real-time embedded systems
High-performance numerical computing (without arrays)
Projects requiring large mainstream community support
Final Summary
ML is a functional, statically typed language with strong type inference.
It excels at symbolic computation, theorem proving, and compiler development.
ML emphasizes immutability, recursion, and modular code structure.
Its design influenced many modern functional programming languages like OCaml, F#, and Haskell.
Faq
Is ML still relevant today?
Yes, mainly in academia, theorem proving, and functional programming research.
Is ML object-oriented?
No, ML is primarily functional, though some variants like OCaml support OO features.
Why learn ML?
To understand type systems, functional programming, and symbolic computation.