Problem Statement
How do you find and fix performance bottlenecks in a Python program?
Explanation
Start with measurement, not guesses. Use cProfile to collect function level timings and inspect results with pstats or snakeviz. Focus on the few functions that dominate total time, often called the vital few.
Apply targeted fixes: reduce algorithmic complexity, move heavy loops out of Python into vectorized libraries, or cache pure results. Re-measure after each change to confirm real wins and to avoid regressions.
Code Solution
SolutionRead Only
import cProfile, pstats
cProfile.run('main()', 'prof')
p=pstats.Stats('prof'); p.sort_stats('tottime').print_stats(20)