Lord1Egypt Performance Profiling
Overview
Profiling calculates statistics of code execution, revealing bottleneck processes.
When to Use This Skill
Use to analyze slow mathematical scripts, inspect pillow memory footprint, or optimize algorithms.
Quick Start (with runnable code examples)
import cProfile
def count_primes():
primes = []
for num in range(2, 5000):
if all(num % i != 0 for i in range(2, int(num**0.5) + 1)):
primes.append(num)
return len(primes)
# Run profile statistics output
cProfile.run('count_primes()')
Advanced Usage
Use line_profiler to trace memory and speed per script line, investigate memory leaks via tracemalloc, and generate flamegraphs.
Key References
Dependencies
- Python Standard Library