Discipline / Python

Automate the boring.

Clear scripts for data, files, APIs and the repeatable work you would rather never do by hand.

15 entries

DATA · FILES · AUTOMATION · APIS · DATA · FILES · AUTOMATION · APIS · DATA · FILES · AUTOMATION · APIS ·

Read and Parse JSON File

Safely read and parse a JSON file with error handling.

import json
from pathlib import Path

def read_json(filepath):

#json#file

easy

02PY↗

List Comprehension with Filter

Filter and transform lists in one elegant line using comprehensions.

# Basic filter
evens = [x for x in numbers if x % 2 == 0]

# Filter and transform

#list#comprehension

easy

03PY↗

Data Class for Models

Use Python dataclasses for clean, type-hinted data models.

from dataclasses import dataclass, field
from typing import List, Optional
from datetime import datetime

#dataclass#typing

medium

04PY↗

Custom Context Manager

Create a context manager for resource cleanup using contextlib.

from contextlib import contextmanager
import time

@contextmanager

#context-manager#with

medium

05PY↗

Retry Decorator with Backoff

Automatically retry failed operations with exponential backoff.

import time
import functools
from typing import Tuple, Type

#decorator#retry

hard

06PY↗

Async Retry Decorator

Asynchronously retry failed operations with exponential backoff for async functions.

import asyncio
import functools
from typing import Tuple, Type

#async#decorator

hard

07PY↗

TTL Cache Decorator

Function caching with time-to-live (TTL) expiration.

import functools
import time
from typing import Any, Callable

#decorator#cache

medium

08PY↗

Rate Limiter Decorator

Limit function execution rate to prevent overwhelming external services.

import functools
import time
from collections import defaultdict
from threading import Lock

#decorator#rate-limit

hard

09PY↗

Context Manager Decorator

Convert a generator function into a context manager.

import functools
from contextlib import contextmanager
from typing import Callable, Generator

#decorator#context-manager

medium

10PY↗

Type and Value Validation Decorator

Validate function arguments and return values using type hints and custom validators.

import functools
import inspect
from typing import Any, Callable, Dict, List, get_type_hints

#decorator#validation

hard

11PY↗

Performance Profiling Decorator

Measure and log function execution time and memory usage.

import functools
import time
import tracemalloc
from typing import Callable

#decorator#profiling

medium

12PY↗

Retry Decorator with Jitter

Retry failed operations with exponential backoff and random jitter to prevent thundering herd.

import functools
import random
import time
from typing import Tuple, Type

#decorator#retry

hard