Reference library

Data pipelines & processing

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

1 match
Data pipelines & processing easy

How to Partition Output Files by Date Key in Python

Group output files into a dictionary partitioned by a YYYYMMDD date key extracted from the filename prefix.

file-partitioning date-key pathlib
Python 
from pathlib import Path
from collections import defaultdict

def partition_files_by_date(directory: str) -> dict:
    """Partition output files by date key extracted from filename (YYYYMMDD prefix)."""
    path = Path(directory)
    partitions = defaultdict(list)
    
    for file in path.iterdir():
        if file.i…
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.

Related coding tools

Free online Python IDE Write and run Python in your browser — no install. Free Python code formatter Format with autopep8 — side-by-side PEP 8 cleanup. Python code samples Copy-ready snippets to study and run in the IDE.