Reference library

Python Code Samples

Medium snippets you can copy, study, and run in the browser editor.

2 matches
Data pipelines & processing medium

Normalize Timestamps to UTC DateTime in Python

Convert timestamps in multiple formats to UTC-aware datetime objects using datetime.strptime and astimezone.

datetime timezone utc
Python
from datetime import datetime, timezone

raw_timestamps = [
    "2024-01-15 14:30:00+02:00",
    "17/05/2024 09:15:00 -0500",
    "2024-03-01T22:45:00Z",
    "2024-06-20 08:00:00+09:30"
]

def parse_and_convert(ts: str) -> datetime:
    normalized_ts = ts.strip().replace("Z", "+00:00")
    formats = [
        "%Y-%m-%…
14 0 Open
System design patterns medium

How to Build a Pipe and Filter Text Processing Chain in Python

A functional pipe-and-filter chain that transforms text through uppercase, whitespace normalization, number removal, stopword filtering, and file export.

pipeline text-processing functional
Python
import re
import sys


def pipe_filter_chain(stream):
    def uppercase(text):
        return text.upper()

    def strip_whitespace(text):
        return " ".join(text.split())

    def remove_numbers(text):
        return re.sub(r"\d+", "", text)

    def remove_stopwords(text, stopwords={"the", "and", "of", "in"}):…
16 0 Open

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Guide: free Python code samples library

Copy-ready Python snippets for learners and developers

PythonSkillset code samples are short, focused examples organised by topic and difficulty. Every snippet is server-rendered HTML — readable by search engines and easy to copy. Open any sample, read the notes, copy the code, then press Try in editor to run it in the browser with Pyodide.

How to use this library

  1. Pick a topic section — strings, lists, files, functions, and more
  2. Open a sample, read How it works, and copy the code block
  3. Run it in the IDE, tweak values, then take a related quiz or tutorial lesson

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.