Data Processing in Python

title: Data Processing in Python — Tools & Patterns
published: false
tags: [python, data-processing]

This post surveys common data processing techniques in Python: streaming
with generators, parsing CSV with the csv module, and simple aggregation.

Example (CSV streaming):

import csv

def rows(path):
    with open(path) as f:
        for r in csv.DictReader(f):
            yield r

for row in rows('data.csv'):
    process(row)

When datasets grow, prefer streaming, chunked processing, and libraries like
pandas for tabular analytics.