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Numba is an open source JIT compiler that translates a subset of Python and NumPy code into fast machine code. Numba translates Python functions to optimized machine code at runtime using the industry-standard LLVM compiler library. Numba-compiled numerical algorithms in Python can approach the speeds of C or FORTRAN. You don't need to replace the Python interpreter, run a separate compilation step, or even have a C/C++ compiler installed. Just apply one of the Numba decorators to your Python function, and Numba does the rest. ...

...It does this by parsing the source into an abstract syntax tree (AST), applying transformation rules, and emitting compatible code. This allows teams to write forward-looking Python without immediately upgrading all their runtime environments. The project is particularly handy for packaging, CI, or on-prem situations where upgrading Python is slow or impossible. It aims to preserve behavior, keep the diff small, and support multiple modern features as they appear.

Nine is a programming language based loosely on Python that strives to achieve the same level of writability without sacrificing runtime efficiency.