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Data pipelines & processing

ETL-style flows, batch transforms, validation, and moving data between formats.

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Data pipelines & processing easy

ETL in Python: Extract CSV, Transform Dict, Load JSON

Build a simple ETL pipeline in Python that reads a CSV file, transforms each row (stripping whitespace and converting numeric fields), and writes the result to JSON.

etl csv json
Python 
import csv
import json
from pathlib import Path

def extract_csv(file_path):
    """Read CSV file and return list of row dictionaries."""
    with Path(file_path).open('r', newline='', encoding='utf-8') as f:
        reader = csv.DictReader(f)
        return list(reader)

def transform_dicts(rows):
    """Transform ro…
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