Reference library

Python Code Samples

Copy-ready Python snippets by topic and difficulty — short, focused, and runnable in the browser editor.

227 matches
Data pipelines & processing easy

How to shard output by primary key hash mod N in Python

This code computes a consistent shard index for any primary key string using an MD5 hash mod the number of shards, enabling stable key-based data distribution.

hashing sharding hashlib
Python
import hashlib

def shard_id(primary_key: str, num_shards: int) -> int:
    """Return the shard index for a primary key using MD5 hash mod N."""
    digest = hashlib.md5(primary_key.encode("utf-8")).hexdigest()
    hash_int = int(digest, 16)
    return hash_int % num_shards

if __name__ == "__main__":
    keys = ["use…
11 0 Open
Data pipelines & processing medium

Map Partition Over Chunks in Python with Multiprocessing and Mock

Process data in chunks across multiple CPU cores using multiprocessing Pool.map, and mock the chunk function to test partitioning behavior without heavy computation.

multiprocessing chunking parallel
Python
from multiprocessing import Pool
from unittest.mock import patch, Mock

def process_chunk(chunk):
    return [x * x for x in chunk]

def map_partition_over_chunks(data, chunk_size, process_func=process_chunk):
    chunks = [data[i:i + chunk_size] for i in range(0, len(data), chunk_size)]
    with Pool() as pool:
     …
12 0 Open
Data pipelines & processing easy

Pipeline stage compose functions left to right in Python

Compose multiple functions into a left-to-right pipeline so each stage receives the output of the previous one.

composition pipeline functional
Python
def compose(*funcs):
    """Compose functions left to right: compose(f, g, h)(x) == h(g(f(x)))"""
    def composed(arg):
        result = arg
        for func in funcs:
            result = func(result)
        return result
    return composed

if __name__ == "__main__":
    def add_one(x):
        return x + 1

    …
16 0 Open
Git + Python easy

Bump Semantic Version Git Tag in Python

Automatically find the latest Git tag and compute the next patch release using semantic versioning (semver) in Python.

git semver versioning
Python
from re import match
from subprocess import run

SEMVER_PATTERN = r"^v(?P<major>0|[1-9]\d*)\.(?P<minor>0|[1-9]\d*)\.(?P<patch>0|[1-9]\d*)(?:-(?P<prerelease>[0-9A-Za-z-]+(?:\.[0-9A-Za-z-]+)*))?(?:\+(?P<buildmetadata>[0-9A-Za-z-]+(?:\.[0-9A-Za-z-]+)*))?$"


def get_latest_tag() -> str:
    result = run(["git", "describe…
15 0 Open
Git + Python easy

Count Unique Contributors from Git Shortlog in Python

Parses git shortlog -sn output to count the number of unique contributors, handling duplicate entries and variable whitespace.

git parsing collections
Python
import subprocess
from collections import Counter

# Mock shortlog output as a list of lines (simulating git shortlog -sn output)
MOCK_SHORTLOG = """  120  Alice Johnson
   88  Bob Smith
   45  Alice Johnson
   30  Carol Williams
   25  Bob Smith
   10  Dave Brown
"""

def count_contributors_from_shortlog(text):
    "…
15 0 Open
Git + Python easy

How to Build a Git Helper Class in Python

A beginner-friendly GitHelper class that wraps common git commands (status, log, branch) into reusable Python methods with structured output.

git subprocess automation
Python
import subprocess
import json
from pathlib import Path


class GitHelper:
    def __init__(self, repo_path="."):
        self.repo = Path(repo_path)

    def run(self, *args):
        result = subprocess.run(
            ["git", *args],
            cwd=self.repo,
            capture_output=True,
            text=True,…
13 0 Open
Git + Python medium

How to Make a Git Commit Heatmap by Hour in Python

Parse a git log output and count commits by weekday and hour, then print a compact heatmap table.

git logging datetime
Python
import re
from collections import Counter
from datetime import datetime

def parse_commits(log_text):
    """Parse git log lines and count commits by (weekday, hour)."""
    pattern = re.compile(r"^Date:\s+(.+)$")
    counts = Counter()
    
    for line in log_text.splitlines():
        match = pattern.match(line)
  …
13 0 Open
Git + Python easy

How to Mock Git Clean Dry Run in Python

Simulate the output of `git clean -n` in Python to preview which untracked files would be removed without actually deleting them.

git clean dry-run
Python
import subprocess
import sys

def mock_git_clean_dry_run(untracked_files):
    """Simulate `git clean -n` for a given list of untracked files."""
    if not untracked_files:
        print("No untracked files to remove.")
        return

    print("Would remove:")
    for file in untracked_files:
        print(f"  {fil…
14 0 Open
Git + Python easy

How to Parse git status --porcelain Output in Python

This code runs `git status --porcelain` and parses its output into a list of dictionaries with file paths and status descriptions.

git subprocess parsing
Python
import subprocess

def parse_git_status_porcelain():
    try:
        output = subprocess.check_output(
            ["git", "status", "--porcelain"], 
            text=True, 
            stderr=subprocess.DEVNULL
        )
    except (subprocess.CalledProcessError, FileNotFoundError):
        return []

    entries = …
14 0 Open
Git + Python easy

How to Run Git Commands from Python with subprocess

This helper runs `git status --short` and `git log --oneline` from Python, captures their output, and returns readable strings with error handling for non-repo directories.

git subprocess automation
Python
import subprocess


def git_status():
    """Return a short, human-readable git status."""
    try:
        output = subprocess.run(
            ["git", "status", "--short"],
            capture_output=True,
            text=True,
            check=True,
        ).stdout.strip()
        return output if output else "W…
14 0 Open
Git + Python easy

How to compute diff stats (insertions, deletions) in Python

Parses a git diff text and counts the number of added and removed lines to produce insertion and deletion stats.

git diff parsing
Python
import re
from collections import Counter


def parse_diff(diff_text):
    insertions = 0
    deletions = 0
    for line in diff_text.splitlines():
        if line.startswith("+") and not line.startswith("+++"):
            insertions += 1
        elif line.startswith("-") and not line.startswith("---"):
            d…
15 0 Open
Cloud + Python easy

How to Calculate Cloud Cost Estimates with a Python Dictionary

Mocks a cloud pricing calculator using a dictionary of service rates and computes total estimated cost for given service hours.

cost-estimate dictionary mock
Python
def estimate_cost(service, hours, rate_table=None):
    if rate_table is None:
        rate_table = {
            "basic": 50,
            "standard": 75,
            "premium": 100
        }
    if service not in rate_table:
        raise ValueError(f"Unknown service: {service}")
    return rate_table[service] * hour…
15 0 Open
Cloud + Python easy

How to Calculate VPC Subnet CIDR Details in Python

Compute network address, broadcast address, address count, prefix length, and netmask for any IPv4 CIDR using the Python standard library's ipaddress module.

ipaddress cidr vpc
Python
import ipaddress


def subnet_details(cidr: str) -> dict:
    network = ipaddress.ip_network(cidr, strict=False)
    return {
        "network_address": str(network.network_address),
        "broadcast_address": str(network.broadcast_address),
        "num_addresses": network.num_addresses,
        "prefix_length": ne…
11 0 Open
Cloud + Python easy

How to Mock DynamoDB with a Simple Dict Store in Python

A lightweight in-memory DynamoDB mock that stores items in a dict and supports put, get, and query-by-value operations for local testing.

dynamodb mock testing
Python
import json
from typing import Any, Dict, Optional


class MockDynamoDB:
    def __init__(self) -> None:
        self._store: Dict[str, Dict[str, Any]] = {}

    def put_item(self, table_name: str, item: Dict[str, Any]) -> None:
        key = str(item.get("id"))
        if table_name not in self._store:
            se…
14 0 Open
Cloud + Python easy

How to Mock Pulumi Stack Outputs in Python

Create a dict-like mock of Pulumi stack outputs for local testing and scripts without running pulumi.

pulumi mock cloud
Python
from collections import defaultdict

class StackOutputMock:
    def __init__(self, outputs: dict):
        self.outputs = dict(outputs)
    
    def export(self):
        return self.outputs
    
    def get(self, key: str, default=None):
        return self.outputs.get(key, default)
    
    def keys(self):
        r…
13 0 Open
Cloud + Python easy

How to Parse Terraform Output JSON in Python

Parse Terraform's JSON output into a flat dictionary of values using the standard library json module.

terraform json cloud
Python
import json

def parse_terraform_output(raw_output):
    """Parse Terraform JSON output into a flat dict of values."""
    try:
        data = json.loads(raw_output)
    except json.JSONDecodeError as e:
        raise ValueError(f"Invalid JSON: {e}")

    return {key: value["value"] for key, value in data.items()}


i…
12 0 Open
Cloud + Python medium

How to mock boto3 S3 upload file wrapper in Python

Wrap an S3 put_object call in a testable function that returns metadata, and mock boto3 to verify the upload without touching AWS.

boto3 s3 aws
Python
import boto3
import io


def upload_file_to_s3(file_obj, bucket, key, object_metadata=None):
    """Upload a file-like object to S3 and return a metadata dict."""
    s3 = boto3.client("s3")
    content = file_obj.read()
    s3.put_object(
        Bucket=bucket,
        Key=key,
        Body=content,
        Metadata=…
13 0 Open
Cloud + Python easy

How to plan reserved capacity from a CSV in Python

Read a CSV of workloads with csv.DictReader and compute a mock reserved capacity plan with headroom per service.

csv capacity-planning cloud
Python
import csv
import io


def plan_reserved_capacity(workloads_csv: str) -> list[dict]:
    """Read a CSV of workloads and return a plan for reserved capacity per service."""
    reader = csv.DictReader(io.StringIO(workloads_csv))
    plan = []
    for row in reader:
        service = row["service"]
        avg_load = fl…
12 0 Open
Cloud + Python medium

Mock CDK Synth Output in Python for Template Testing

Simulate AWS CDK synth output with MagicMock to test or preview CloudFormation templates without running a real CDK app.

aws cdk cloudformation
Python
import json
from unittest.mock import MagicMock

def mock_cdk_synth() -> dict:
    """Simulate AWS CDK synth output for a simple S3 bucket."""
    cdk_app = MagicMock()
    cdk_app.synth.return_value.template = {
        "Resources": {
            "MyBucket": {
                "Type": "AWS::S3::Bucket",
              …
13 0 Open
Cloud + Python easy

Mock CloudWatch put_metric_data in Python

Simulate AWS CloudWatch put_metric_data with validation and formatted output for local testing without AWS.

cloudwatch aws mock
Python
import json
from datetime import datetime, timezone


def put_metric_data(namespace, metric_data_list):
    """
    Mock AWS CloudWatch put_metric_data.
    Validates and prints the metrics that would be sent.
    """
    timestamp = datetime.now(timezone.utc).isoformat()
    print(f"[MockCloudWatch] Received request …
15 0 Open
Modern tooling easy

Build a Recipe Runner Mock in Python

A Python script that mocks a command runner recipe system: maps recipe names to shell commands, executes them with subprocess, and prints the output and exit code.

subprocess command-runner recipes
Python
import subprocess
import sys


def run_recipe(recipe: str) -> None:
    """Simulate a command runner recipe by printing the command and exit code."""
    print(f"Running recipe: {recipe}")
    result = subprocess.run(recipe, shell=True, capture_output=True, text=True)
    print(f"Exit code: {result.returncode}")
    i…
16 0 Open
Modern tooling medium

How to Mock CLI Output in Typer with unittest.mock

Mock and capture Typer CLI output using unittest.mock.patch and io.StringIO for testing command-line applications.

typer cli testing
Python
import typer
from unittest.mock import patch
import io

app = typer.Typer()

@app.command()
def greet(name: str, age: int = 18, uppercase: bool = False):
    """Greet a person with optional formatting."""
    message = f"Hello {name}, age {age}"
    if uppercase:
        message = message.upper()
    typer.echo(messag…
11 0 Open
Modern tooling easy

How to Mock a pipx Install Command in Python

Simulate a pipx install step by validating tool names and printing the exact command output a real pipx run would produce.

pipx cli mocking
Python
import subprocess
import sys


def install_with_pipx(tool_name: str) -> str:
    """
    Mock a pipx install step by validating the tool name and
    simulating the installation command output.
    """
    allowed_tools = {"black", "flake8", "mypy", "ruff"}
    if tool_name not in allowed_tools:
        raise ValueErr…
15 0 Open
Modern tooling easy

How to Mock isort Output to Test Import Sorting in Python

Uses isort with check mode and a unittest mock to verify whether a Python source string has correctly sorted imports.

isort import-sorting mock
Python
import isort
from unittest.mock import patch

code = """
import os
import sys
import json
import pathlib
"""

def check_imports_sorted(code_str):
    with patch("isort.api.output") as mock_output:
        isort.code(code_str, check=True, show_diff=True)
        return mock_output.called

if __name__ == "__main__":
   …
10 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.