Why This Happens
MemoryError occurs when Python cannot allocate memory. Common causes include reading huge files into memory, creating extremely large lists, or multiplying large sequences.
The Problem
with open('huge_file.csv') as f:
data = f.readlines()The Fix
with open('huge_file.csv') as f:
for line in f:
process(line)
# Or with pandas chunks:
import pandas as pd
for chunk in pd.read_csv('huge_file.csv', chunksize=10000):
process(chunk)Step-by-Step Fix
- 1
Use generators
Replace lists with generators to process lazily.
- 2
Process in chunks
Read files in chunks.
- 3
Use memory-efficient types
Use numpy arrays instead of lists for numeric data.
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