Reference library

Data pipelines & processing

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

1 match
Data pipelines & processing easy

Enrich Events with Geo IP Data in Python

Returns a copy of each event dictionary, enriched with a geo-location dict from a mock IP-to-geo lookup table, with a fallback for unknown IPs.

data-enrichment dictionaries pipelines
Python
import ipaddress


GEO_IP_DB = {
    "192.168.1.10": {"country": "US", "city": "New York", "lat": 40.7128, "lon": -74.0060},
    "10.0.0.5": {"country": "DE", "city": "Berlin", "lat": 52.5200, "lon": 13.4050},
    "172.16.0.8": {"country": "JP", "city": "Tokyo", "lat": 35.6762, "lon": 139.6503},
}

EVENTS = [
    {"id…
14 0 Open

Browse by section

Each section groups closely related Python snippets.

Data pipelines & processing — Python code examples

What you will find here

This page collects data pipelines & processing snippets — short, copy-ready Python you can paste into our free online IDE and run without installing anything. Each sample includes a plain-English explanation and the full source code.

Samples vs tutorials and challenges

Samples are quick reference — one concept per page. For step-by-step teaching, use our Python tutorials. To test yourself, try quizzes or coding challenges. Clean up style with the Python formatter.