Tooling

The strategies to accelerate Python in general divide into two general approaches.

• Use a well designed library/tool that does all the heavy lifting for you behind the scenes with minimal modifications, such as numba and PyPy.

• control all the bits and pieces yourself. That basically applies for everything else.