Reference library

Python Code Samples

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

5 matches
Lists & loops easy

How to Process Text Lines with Lists and Loops in Python

This code processes a list of text lines by stripping whitespace, converting to uppercase, and reporting character counts per line and totals.

lists loops text-processing
Python
def process_text(lines):
    """Convert a list of text lines to uppercase and report line statistics."""
    processed = []
    total_chars = 0
    
    for index, line in enumerate(lines, start=1):
        cleaned = line.strip().upper()
        processed.append(cleaned)
        total_chars += len(cleaned)
        pri…
12 0 Open
Files & data easy

Generate Timesheet Reports from Daily Logs in Python

Aggregate daily log entries by project and produce a formatted timesheet report using Python's standard library.

timesheet reporting aggregation
Python
import json
from pathlib import Path
from collections import defaultdict

def generate_timesheet_report(daily_logs: list[dict]) -> str:
    """
    Generate a timesheet report from daily log entries.
    
    Args:
        daily_logs: List of dicts with 'date', 'project', 'hours', 'task' keys
    
    Returns:
       …
45 0 Open
Dictionaries & sets easy

How to Validate JSON Types per Key in Python

Load a JSON object and validate the type of each key against an expected schema, reporting missing or mismatched fields.

json validation types
Python
import json
from typing import Any, Dict, Type

def validate_json_types(data: Dict[str, Any], schema: Dict[str, Type]) -> Dict[str, str]:
    """Validate that each key in data matches the expected type in schema."""
    errors = {}
    for key, expected_type in schema.items():
        if key not in data:
            e…
15 0 Open
Modern tooling easy

How to Generate a Mock Rollbar Error Report in Python

Create a realistic fake Rollbar error report with random timestamps, levels, messages, and counts for testing and demos.

rollbar mock-data error-reporting
Python
import json
import random
import time
from datetime import datetime, timedelta


def mock_rollbar_report(n_errors=5):
    messages = [
        "TypeError: unsupported operand type(s) for +: 'int' and 'str'",
        "KeyError: 'user_id'",
        "ValueError: invalid literal for int() with base 10: 'abc'",
        "At…
13 0 Open
ML engineering pipelines easy

Compare Model A vs Model B Metrics in Python

A script that simulates and compares metrics between two ML models, showing a formatted diff table for quick insight.

model comparison mock metrics
Python
import random


def compare_a_b(samples=5):
    """Mock comparison of model A vs model B predictions."""
    metrics = ["accuracy", "precision", "recall", "f1"]
    print(f"{'Metric':<12}{'Model A':>10}{'Model B':>10}{'Diff':>10}")
    print("-" * 42)

    random.seed(42)
    for metric in metrics:
        a = round(r…
13 0 Open

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Each section groups closely related Python snippets.

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.