Run Python Online — Instant Execution, Zero Setup

Open pythoncompiler.io, type or paste your Python code, and press Ctrl + Enter. Output appears instantly in the panel below the editor. That's it — no installation, no account creation, no waiting for a remote server to spin up.

Python 3.11 runs directly in your browser. This means execution is immediate — there's no network round-trip, no cold start, and no queue. Your code runs on your own machine, using your browser as the runtime. Close the tab, come back later, and your code is still there, saved automatically to browser storage.

Whether you need to test a quick snippet, debug a function, run a homework exercise, or prototype a data analysis — you can go from idea to output in seconds.

This is a full Python 3.11 environment, not a stripped-down playground. You get the complete standard library and a set of pre-loaded data science packages. Here's what works out of the box:

• Core Python — variables, loops, conditionals, functions, classes, decorators, generators, list comprehensions, exception handling, and everything else in the language.
• Data science — import numpy, import pandas, import matplotlib.pyplot as plt — all load automatically without any install step.
• File operations — read and write files using Python's built-in open() function. Files live in the browser's virtual filesystem.
• Multi-file projects — create multiple .py files in tabs and import between them, just like a local project.

import pandas as pd
import matplotlib.pyplot as plt

# Create a simple dataset
data = pd.DataFrame({
    'month': ['Jan', 'Feb', 'Mar', 'Apr', 'May'],
    'sales': [120, 135, 148, 162, 155]
})

# Plot it
plt.figure(figsize=(8, 4))
plt.bar(data['month'], data['sales'], color='#3572A5')
plt.title('Monthly Sales')
plt.ylabel('Units Sold')
plt.show()

The most popular Python packages are ready to import. Some are pre-loaded for instant access, while others install on demand the first time you import them.