Python Playground

Free Online Python Playground & Sandbox

PlayCode's Python playground is the perfect environment to experiment with Python code. Unlike traditional setups that require installing Python, pip, and configuring virtual environments, this Python sandbox runs entirely in your browser, just open and start coding. Ideal for learning, testing algorithms, data science experiments, and quick prototyping.

Why Use a Python Playground?

A Python playground removes all the friction from coding:

• No installation: Skip downloading Python, configuring PATH, or setting up venv
• Instant feedback: See output immediately after running
• Safe experimentation: Test code without affecting your system
• Learn by doing: Try examples and modify them instantly
• Share easily: Show code to others without setup

Features

Perfect for Learning Python

This Python sandbox is ideal for beginners learning the language. Try these concepts:

# Python is dynamically typed
name = "Alice"
age = 25
price = 19.99
is_active = True

print(f"Name: {name}")
print(f"Age: {age}")
print(f"Price: ${price}")

# List comprehension
numbers = [1, 2, 3, 4, 5]
squares = [x**2 for x in numbers]

print("Squares:", squares)

# Filter even numbers
evens = [x for x in numbers if x % 2 == 0]
print("Even numbers:", evens)

def factorial(n):
    if n <= 1:
        return 1
    return n * factorial(n - 1)

class Calculator:
    def add(self, a, b):
        return a + b

calc = Calculator()
print(f"5! = {factorial(5)}")
print(f"2 + 3 = {calc.add(2, 3)}")

Data Science Ready

The Python playground comes with popular data science libraries:

import numpy as np
import matplotlib.pyplot as plt

# Generate data
x = np.linspace(0, 2 * np.pi, 100)
y = np.sin(x)

# Create plot
plt.figure(figsize=(10, 4))
plt.plot(x, y, 'b-', linewidth=2)
plt.title('Sine Wave')
plt.xlabel('x')
plt.ylabel('sin(x)')
plt.grid(True)
plt.show()

Python Playground vs Local Setup

While local Python is great for production, a Python playground excels at: