Python Online Compiler

Write, run, and test Python code directly in your browser. Perfect for learning, testing, and prototyping.

Python Editor Ready

print("Hello, World!")

# Try some Python features
numbers = [1, 2, 3, 4, 5]
squared = [x**2 for x in numbers]
print("Squared numbers:", squared)

# Functions
def greet(name):
    return f"Hello, {name}!"

print(greet("Python Developer"))

Output:

Output will appear here...

About Python

Python is a high-level, interpreted programming language known for its simplicity and readability. It’s widely used in web development, data science, artificial intelligence, automation, and more.

Why Python?

Easy to Learn - Clean syntax that’s easy to read and write
Versatile - Used for web development, data analysis, AI/ML, automation
Rich Ecosystem - Thousands of libraries and frameworks available
Great Community - Large, active community and extensive documentation
Cross-platform - Runs on Windows, macOS, Linux, and more

Common Use Cases

Web Development (Django, Flask)
Data Science and Analytics (Pandas, NumPy)
Machine Learning (TensorFlow, PyTorch, scikit-learn)
Automation and Scripting
API Development
Scientific Computing

Quick Start Examples

Basic Python

# Print Hello World
print("Hello, World!")

# Variables and data types
name = "Python"
version = 3.12
is_awesome = True

print(f"{name} {version} is awesome: {is_awesome}")

# Lists and loops
numbers = [1, 2, 3, 4, 5]
for num in numbers:
    print(f"Number: {num}")

HTTP Requests (with CORS-enabled API)

import requests

# Example with JSONPlaceholder API (supports CORS)
response = requests.get('https://jsonplaceholder.typicode.com/posts/1')
print(f"Status Code: {response.status_code}")
print(f"Title: {response.json()['title']}")

# POST request example
new_post = {
    "title": "My Post",
    "body": "This is a test",
    "userId": 1
}
response = requests.post('https://jsonplaceholder.typicode.com/posts', json=new_post)
print(f"Created post ID: {response.json()['id']}")

Python Features

Dynamic Typing - No need to declare variable types
Indentation-based Syntax - Uses whitespace for code blocks
Object-Oriented - Supports OOP principles
Functional Programming - First-class functions and lambda expressions
Exception Handling - Robust error handling with try/except
Standard Library - “Batteries included” philosophy

Learning Resources

Python.org Official Documentation
Real Python Tutorials
Python for Everybody (Free Course)
Automate the Boring Stuff with Python