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Python Code Samples

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

27 matches
Data pipelines & processing easy

How to Clean and Format Data in Python

This code loads JSON data, cleans records by removing empty fields and normalizing text, then summarizes the results with counts and unique keys.

json data cleaning data pipelines
Python
import json
from pathlib import Path


def load_data(filepath: str) -> dict:
    """Load JSON data from a file."""
    with Path(filepath).open("r", encoding="utf-8") as f:
        return json.load(f)


def clean_records(records: list[dict]) -> list[dict]:
    """Remove empty fields and normalize text to lowercase."""…
14 0 Open
Data pipelines & processing easy

How to Safely Coerce Strings to Numbers in Python

A safe conversion function that turns strings into integers or floats, returning a fallback value when conversion fails.

type-conversion robust-parsing data-cleaning
Python
import math

def to_number(value, fallback=None):
    """Safely coerce a string to int or float, returning fallback on failure."""
    if isinstance(value, (int, float)):
        return value
    try:
        # Try int first for clean whole numbers
        return int(value)
    except (ValueError, TypeError):
        …
12 0 Open
ML engineering pipelines easy

How to Impute Missing Values with Mean in Python

Replace None values in a list with the mean of the existing values using Python's statistics module.

imputation missing-data statistics
Python
import statistics
from statistics import mean


def impute_mean(values):
    """Replace None with the mean of the non-None values."""
    # Filter out None to compute the mean of existing values
    valid = [v for v in values if v is not None]
    if not valid:
        return values  # nothing to impute if all are Non…
14 0 Open

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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.

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  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.