Optimizing Python in the Real World: NumPy, Numba, and the NUFFT

Donald Knuth famously quipped that "premature optimization is the root of all evil." The reasons are straightforward: optimized code tends to be much more difficult to read and debug than simpler implementations of the same algorithm, and optimizing too early leads to greater costs down the road.