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Python Code Samples

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

55 matches
Testing & modern typing easy

How to Parse Data with Type Hints in Python

A beginner-friendly helper that parses simple dictionary- or list-like strings into typed Python structures using modern typing annotations.

type-hints parsing typing
Python
from typing import Any, Dict, List, Union


def parse_data(raw: str) -> Union[Dict[str, Any], List[Any], str]:
    """Parse a simple string into structured data using type hints."""
    cleaned = raw.strip()
    
    if not cleaned:
        return {}
    
    if cleaned.startswith("{") and cleaned.endswith("}"):
     …
11 0 Open
API design & gRPC easy

How to Decode Basic Auth Credentials in Python

Decode username and password from a Basic Auth header string using base64 and standard string operations.

base64 authentication api
Python
import base64

def decode_basic_auth(header_value):
    """
    Decode credentials from a Basic Auth header value.
    
    Expected format: "Basic base64encoded(username:password)"
    Returns a tuple (username, password).
    """
    if not header_value.startswith("Basic "):
        raise ValueError("Invalid Basic A…
13 0 Open
API design & gRPC easy

How to Parse gRPC Request Data in Python

Build a beginner-friendly gRPC service handler that parses incoming protobuf messages into Python dictionaries and starts a simple gRPC server.

grpc protobuf api
Python
from google.protobuf import json_format
import grpc
from concurrent import futures
import time


class DataParsingService:
    def parse(self, request):
        return {
            "received_json": json_format.MessageToJson(request),
            "parsed_fields": {
                "name": request.name,
               …
14 0 Open
Streaming & messaging easy

How to Serialize and Deserialize JSON Event Payloads in Python

Define an EventPayload class with custom to_json and from_json methods to convert event objects to JSON strings and back, using datetime parsing.

json serialization datetime
Python
import json
from datetime import datetime


class EventPayload:
    def __init__(self, event_id, event_type, timestamp, data):
        self.event_id = event_id
        self.event_type = event_type
        self.timestamp = timestamp
        self.data = data

    def to_json(self):
        return json.dumps({
          …
12 0 Open
Reliability & rate limiting easy

How to implement rate limiting in Python

A beginner-friendly Python rate limiter that throttles API calls and retries parsing tasks with exponential backoff.

rate-limiting retry parsing
Python
import time
import random

class RateLimiter:
    def __init__(self, max_calls, per_seconds):
        self.max_calls = max_calls
        self.per_seconds = per_seconds
        self.timestamps = []
    
    def allow(self):
        now = time.time()
        self.timestamps = [t for t in self.timestamps if now - t < sel…
15 0 Open
Observability & SRE easy

How to Parse Log Lines with Regex in Python

Extracts timestamp, log level, service name, and message from a log line using compiled regex named groups.

regex logging parsing
Python
import re

LOG_PATTERN = re.compile(
    r'^(?P<timestamp>\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}) '
    r'\[(?P<level>\w+)\] '
    r'\((?P<service>[^)]+)\) '
    r'(?P<message>.*)$'
)

def parse_log_line(line: str) -> dict:
    match = LOG_PATTERN.match(line)
    if not match:
        return {"error": "invalid log format…
14 0 Open
A/B testing & experimentation easy

How to Build a Simple Binary Protocol Parser Mock in Python

Defines a mock binary protocol with field definitions, encoding, and decoding to simulate network packet parsing for A/B testing and experiment setup.

binary protocol mock
Python
class SimpleProtocol:
    def __init__(self, name, version):
        self.name = name
        self.version = version
        self.fields = []

    def add_field(self, field_name, field_size):
        self.fields.append((field_name, field_size))

    def parse(self, data):
        if len(data) != sum(size for _, size i…
12 0 Open

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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.