Numba is a Python bytecode to LLVM translator that allows creation of fast, machine code from Python functions. The Low Level Virtual Machine (LLVM) project is rapidly becoming a hardware-industry standard for the intermediate representation (IR) of compiled codes. Numba's high-level translator to the LLVM IR provides Python the ability to take advantage of the machine code generated by the hardware manufacturers contributions to LLVM. Numba translates a Python function comprised of a subset of Python syntax to machine code using simple type inference and the creation of multiple machine-code versions. In this talk, I will describe the design of Numba, illustrate its applications to multiple domains and discuss the enhancements to NumPy and SciPy that can benefit from this tool.