Think Python: How to Think Like a Computer Scientist

But if you keep those caveats in mind, algorithmic analysis is a useful tool. At least for
large problems, the “better” algorithms is usually better, and sometimes it is much better.
The difference between two algorithms with the same order of growth is usually a constant
factor, but the difference between a good algorithm and a bad algorithm is unbounded!