If you’re writing numeric Python code, Numba can be a great way to speed up your program. By compiling a subset of Python to machine code, Numba lets you write for loops and other constructs that would be too slow in normal Python. In other words, it’s similar to Cython, C, or Rust, in that it lets you write compiled extensions for Python. Numba code isn’t always as fast as it could be, however. This is where profiling is useful: it can find at least some of the bottlenecks in your code. In this...