Reference library

Python Code Samples

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

266 matches
Data pipelines & processing easy

Generate a Deterministic Hash for Deduplication in Python

Create a stable SHA-256 fingerprint from nested data and file contents to deduplicate records in a data pipeline.

hashing deduplication sha256
Python
import hashlib
import json
from pathlib import Path

def natural_key_hash(data, salt=""):
    """
    Generate a deterministic fingerprint from raw data (dict/list/str).
    Uses JSON canonical-ish serialization with sorted keys and SHA-256.
    """
    canonical = json.dumps(data, sort_keys=True, separators=(",", ":"…
16 0 Open
Data pipelines & processing easy

How to Group Rows by Key into Nested Arrays in Python

This code groups rows in a list of dictionaries by a specified key and returns a dictionary with each key mapped to a list of values from another key.

grouping defaultdict data-aggregation
Python
from collections import defaultdict


def implode_rows(rows, key, value_key):
    grouped = defaultdict(list)
    for row in rows:
        grouped[row[key]].append(row[value_key])
    return dict(grouped)


if __name__ == "__main__":
    data = [
        {"category": "fruit", "item": "apple"},
        {"category": "fr…
15 0 Open
Data pipelines & processing easy

How to Merge Multiple Data Sources in Python

A beginner-friendly helper that merges lists of dictionaries from multiple sources into one combined list using key filtering.

merge pipelines dicts
Python
import json

def merge_pipeline_data(*data_sources, keys=()):
    """Merge multiple data sources (list of dicts) into a single list of merged dicts.
    
    Args:
        *data_sources: One or more lists of dictionaries.
        keys: Tuple of keys to include from each source (empty means all keys).
    Returns:
    …
15 0 Open
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…
15 0 Open
Data pipelines & processing easy

How to Reduce Aggregate Counts from Mapped Chunks in Python

Combine a list of mapped chunk dictionaries into a single aggregated count dictionary using functools.reduce.

reduce aggregation dictionary
Python
from functools import reduce
from collections import defaultdict

def aggregate_chunks(mapped_chunks):
    """Combine mapped chunk counts into a single aggregate dict."""
    return reduce(
        lambda acc, chunk: {
            **acc,
            **{k: acc.get(k, 0) + v for k, v in chunk.items()}
        },
       …
15 0 Open
Data pipelines & processing medium

How to Validate Fact Table Grain Row Counts in Python

Validate fact table grain by checking dimension key references, unique grain combinations, duplicate rows, and dimension cardinality from a CSV file.

csv data validation etl
Python
import csv
import hashlib
from pathlib import Path


def validate_fact_grain(fact_file: Path, expected_dim_keys: dict[str, set[str]]) -> dict:
    """
    Validate fact table grain by checking each row's dimension keys exist
    in expected dimension tables and row count consistency.
    """
    dim_references = {}
  …
13 0 Open
Data pipelines & processing easy

How to detect anomalies in a column using z-score in Python

Detect outliers in a list of numbers using z-score statistics, flagging values that deviate significantly from the mean.

anomaly-detection z-score statistics
Python
import random

def z_score_anomaly_detection(data, threshold=2.0):
    """
    Detect anomalies in a list of numbers using z-score.
    """
    mean = sum(data) / len(data)
    variance = sum((x - mean) ** 2 for x in data) / len(data)
    std_dev = variance ** 0.5
    
    if std_dev == 0:
        return []
    
    a…
15 0 Open
Data pipelines & processing easy

How to route late-arriving data to a side output in Python

Separate late-arriving events from a streaming data batch into a dead-letter side output list using a timestamp threshold.

data pipelines streaming dead-letter
Python
from collections import defaultdict

def late_arriving_side_output(events, late_threshold_ts):
    """
    Mock a streaming pipeline that separates late-arriving data events
    into a side output list (e.g., for dead-letter analysis).

    events: list of (timestamp, data) tuples, timestamps as ints.
    late_thresho…
13 0 Open
Data pipelines & processing medium

Implement an Out-of-Order Sort Buffer with a Heap in Python

Buffers out-of-order indices from a stream and emits them in sorted order using a min-heap with a sliding window.

heapq sorting streaming
Python
import heapq
from collections import deque


class OutOfOrderSorter:
    def __init__(self, buffer_size):
        self.buffer_size = buffer_size
        self.buffer = deque(maxlen=buffer_size)
        self.heap = []
        self.next_expected_index = 0
        self.result = []

    def push(self, item):
        heapq.…
12 0 Open
Data pipelines & processing easy

Parallel Extract Multiple Sources with Threads in Python

Extract data from multiple sources in parallel using ThreadPoolExecutor and verify results match sequential processing.

threads threadpoolexecutor concurrency
Python
import threading
from concurrent.futures import ThreadPoolExecutor

def extract_from_source(source):
    """Simulate extracting data from a source."""
    return f"Data from {source}"

def main():
    sources = ["source_a", "source_b", "source_c", "source_d"]
    
    # Sequential extraction for comparison
    sequent…
15 0 Open
Data pipelines & processing medium

Pivot long to wide transformation dict

Transform a list of dictionaries from long format to wide format by pivoting on a key column and aggregating values, using pure Python.

pivot transformation data-cleaning
Python
def pivot_long_to_wide(rows, key_col, value_col, id_cols=None):
    """
    Convert long-format data (list of dicts) to wide format.
    
    Args:
        rows: List of dicts in long format
        key_col: Column name to pivot on (becomes new column headers)
        value_col: Column name whose values become the cel…
11 0 Open
Git + Python easy

Build a Simple Log Graph in Python

Create a basic one-dimensional bar chart from log lines by counting occurrences of leading numeric keys.

logging visualization graph
Python
import heapq


def log_graph(log_lines: list[str]) -> str:
    """Build a simple per-line, one-dimensional visual graph from log entries."""
    counts: dict[int, int] = {}
    for line in log_lines:
        tokens = line.split()
        if tokens:
            try:
                idx = int(tokens[0])
            exce…
19 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):
    "…
16 0 Open
Git + Python medium

Generate CHANGELOG from Conventional Commits in Python

Parse your git log for conventional commits (feat, fix) and produce a simple Markdown CHANGELOG with grouped features and bug fixes.

git changelog automation
Python
import subprocess
import re
import sys
from collections import OrderedDict

CONVENTIONAL_COMMIT = re.compile(
    r"^(?P<type>feat|fix|chore|docs|refactor|perf|test|build|ci|style)(?:\((?P<scope>[^)]+)\))?: (?P<description>.+)"
)


def get_git_log():
    return subprocess.run(
        ["git", "log", "--format=%s"],
  …
15 0 Open
Git + Python medium

Generate Release Notes Markdown from PR Titles in Python

Generate structured Markdown release notes from a list of pull request titles using conventional commit types.

release-notes git pr-titles
Python
import json
from datetime import datetime, timezone

PRS = [
    {"title": "feat: add user login", "number": 12, "merged_at": "2025-01-10"},
    {"title": "fix: resolve payment timeout", "number": 13, "merged_at": "2025-01-11"},
    {"title": "chore: bump dependencies", "number": 14, "merged_at": "2025-01-12"},
    {"…
16 0 Open
Git + Python easy

Get Git Status Info in Python

Run git commands from Python to gather branch name, number of changes, total commits, and clean status, returning them as a dict.

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


def get_git_status(repo_path="."):
    """Return basic git info about a repository as a dict."""
    try:
        branch = subprocess.check_output(
            ["git", "branch", "--show-current"],
            cwd=repo_path,
            stderr=subprocess.DEVNULL,…
13 0 Open
Git + Python easy

How to Auto-Suggest a SemVer Bump From Git Commit Messages in Python

This code scans Git commit messages (recent or sample) and suggests the next Semantic Versioning bump type — major, minor, patch, or none.

semver git automation
Python
import re
import subprocess
from pathlib import Path


def get_commit_messages(path="."):
    """Read commit messages from a repo or use sample messages."""
    if (Path(path) / ".git").exists():
        out = subprocess.run(
            ["git", "-C", path, "log", "--pretty=%s"], capture_output=True, text=True
       …
14 0 Open
Git + Python easy

How to Create a Git Commit with Message Template in Python

Run a git commit from Python using a standardized message template built from a commit type and description.

git subprocess automation
Python
import subprocess
import sys


def commit_with_template(commit_type: str, description: str) -> None:
    message = f"{commit_type}: {description}"
    try:
        subprocess.run(["git", "commit", "-m", message], check=True)
        print(f"Committed: {message}")
    except subprocess.CalledProcessError as e:
        …
14 0 Open
Git + Python medium

How to Format Git Patch Series as an MBOX File in Python

Generate a patch-series mbox file from commit metadata with numbered [PATCH nnn/nnn] subjects and a Git-style footer.

git mbox patch-series
Python
import re
from pathlib import Path


def format_patch_series_mbox(commits, output_path="series.mbox"):
    entries = []
    for idx, commit in enumerate(commits, start=1):
        subject = commit["subject"]
        author = commit["author"]
        email = commit["email"]
        date = commit["date"]
        body = …
15 0 Open
Git + Python medium

How to Generate Release Notes from Git Commit Messages in Python

This script fetches recent Git commit messages using conventional commit prefixes (feat, fix, etc.), categorizes them, and prints formatted release notes with today's date.

git release-notes automation
Python
import subprocess
import re
from datetime import datetime

def get_git_log(since_tag="HEAD~10", format_str="%s"):
    """Retrieve commit messages from git log."""
    try:
        result = subprocess.run(
            ["git", "log", f"--since={since_tag}", f"--format={format_str}"],
            capture_output=True,
   …
50 0 Open
Git + Python easy

How to Get Git Status and Log in Python

A beginner-friendly helper that runs git status and git log from Python using subprocess, with safe handling for non-repo directories.

git subprocess cli
Python
import subprocess
from pathlib import Path


def git_status(path: str = ".") -> str:
    """Return the current git status as a string."""
    result = subprocess.run(
        ["git", "status", "--short"],
        cwd=path,
        capture_output=True,
        text=True
    )
    return result.stdout.strip() or "No cha…
16 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…
15 0 Open
Git + Python easy

How to Stage All Modified Files with git add -u in Python

Runs git add -u from Python to stage all modified and deleted tracked files, then prints the short status.

git subprocess automation
Python
import subprocess


def stage_all_modified_files(repo_path="."):
    """Run git add -u to stage all modified and deleted tracked files."""
    result = subprocess.run(
        ["git", "add", "-u"],
        cwd=repo_path,
        capture_output=True,
        text=True,
    )
    if result.returncode != 0:
        print…
16 0 Open
Git + Python medium

How to generate and parse an interactive rebase TODO list in Python

Generate a Git interactive rebase TODO list from commit data and parse it back into structured records.

git rebase automation
Python
import re
from collections import namedtuple

Commit = namedtuple("Commit", ["hash", "subject"])

def generate_rebase_todo(commits, action="pick"):
    todo_lines = []
    for i, commit in enumerate(commits):
        if i == 0 and action == "reword":
            todo_lines.append(f"reword {commit.hash} {commit.subject…
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.