Reference library

Python Code Samples

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

6 matches
Errors & debugging easy

How to Catch KeyError with a Default Value in Python Dictionaries

Safely retrieve dictionary values while catching KeyError and handling None values by returning a default.

keyerror dictionary error-handling
Python
def get_value(data, key, default=None):
    """
    Safely get a value from a dictionary, returning a default if the key
    is missing or the value is None.
    """
    try:
        value = data[key]
        return value if value is not None else default
    except KeyError:
        return default


if __name__ == "_…
13 0 Open
Errors & debugging easy

How to Use Optional Return in Python Instead of Raising Exceptions

A Python function returns None for missing dictionary keys instead of raising KeyError, enabling graceful lookup handling with type hints.

optional typing dict-get
Python
from typing import Optional


def find_user(users: dict, user_id: int) -> Optional[dict]:
    """
    Look up a user by ID. Returns the user dict if found,
    otherwise returns None instead of raising KeyError.
    """
    return users.get(user_id)


def main() -> None:
    users = {
        1: {"name": "Alice", "ema…
14 0 Open
Errors & debugging easy

How to check for None and raise helpful errors in Python

A defensive function that explicitly validates data, keys, and values — raising descriptive ValueError and KeyError exceptions before returning a result.

none error-handling validation
Python
def get_value(data, key):
    if data is None:
        raise ValueError("data cannot be None")
    if key not in data:
        raise KeyError(f"key '{key}' not found in data")
    result = data[key]
    if result is None:
        raise ValueError(f"value for key '{key}' is None")
    return result


if __name__ == "__…
15 0 Open
Errors & debugging easy

Python dict try-except KeyError EAFP vs LBYL

Compare EAFP (try-except) and LBYL (if-in-check) styles for safely accessing dictionary keys, with working examples in Python.

eafp lbyl dictionary
Python
def safe_get_lbyl(d, key):
    if key in d:
        return d[key]
    return "default-lbyl"

def safe_get_eafp(d, key):
    try:
        return d[key]
    except KeyError:
        return "default-eafp"

if __name__ == "__main__":
    data = {"name": "Alice", "age": 30}
    print("LBYL:", safe_get_lbyl(data, "missing")…
14 0 Open
Microservices patterns easy

How to Build an In-Memory Service Registry Mock in Python

A simple in-memory ServiceRegistry class to register, retrieve, list, and unregister microservice endpoints or configs using a dict, with KeyError guards.

service-registry microservices in-memory
Python
class ServiceRegistry:
    def __init__(self):
        self._services = {}

    def register(self, name, service):
        self._services[name] = service

    def unregister(self, name):
        if name not in self._services:
            raise KeyError(f"Service '{name}' not found")
        del self._services[name]

 …
14 0 Open
Auth & security at scale easy

Fetch Secrets from a Mock Secrets Manager in Python

Build a minimal in-memory secrets manager that stores and retrieves secret values, raising a KeyError for missing names.

secrets-management security mock
Python
import json

class SecretsManager:
    """Mock secrets manager that returns secrets from a local store."""
    
    def __init__(self, store=None):
        self.store = store or {
            "api_key": "mock-api-key-123",
            "db_password": "s3cret-p@ss",
            "jwt_secret": "dev-only-secret"
        }
…
16 0 Open

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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.