Documentation

Simple Loop Optimization

Basic example of optimizing a Python loop.

Before (Slow)

import time
def sum_squares(n):
    total = 0
    for i in range(n):
        total += i * i
    return total
start = time.perf_counter()
result = sum_squares(10_000_000)
print(f"Time: {time.perf_counter() - start:.2f}s")
# Output: Time: 2.34s

After (Fast)

import epochly
import time
@epochly.optimize
def sum_squares(n):
    total = 0
    for i in range(n):
        total += i * i
    return total
start = time.perf_counter()
result = sum_squares(10_000_000)
print(f"Time: {time.perf_counter() - start:.2f}s")
# Output: Time: 0.003s (780x faster)

What Happened

Epochly detected a numerical loop pattern
Applied JIT compilation (Level 2)
Loop runs as compiled machine code
Result verified against baseline

Data Processing