A fresh approach to technical computing
Numerical computing without the two-language problem: Python ergonomics with compiled speed.
The 2012 MIT answer to the two-language problem in science: write numerical code in Julia's clean syntax, get C-level speed from its JIT. Multiple dispatch as the core abstraction, composable packages, and a community strong in optimization, differential equations and ML. The choice for technical computing where Python's ceiling hurts.
Who it's for
Scientists and engineers who want Python-level ergonomics with C-level numerical speed.
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