Python Code Runner

Local only

Python Code Runner Features

Browser Execution

Run Python scripts in the browser and get quick feedback while you iterate

Multi-File Support

Organize examples with multiple Python files and helper modules

Error Debugging

Clear error messages and stack traces for easy debugging

Algorithm Testing

Perfect for testing algorithms, data structures, and solutions

Data File Upload

Upload CSV, JSON, text, and other data files for your scripts to read

Auto Save

Your Python scripts are saved locally as you code; Pro can sync them across devices

Perfect for Python Development

Algorithm Development

Test and refine algorithms quickly with our Python runner. Perfect for competitive programming, coding interviews, and algorithm practice with immediate feedback on performance and correctness.

Script Automation

Develop and test utility scripts, data-processing examples, and reusable helper functions. Run your Python scripts in the browser before moving them into a local or server environment.

Python Script Runner Features

Run Complete Scripts

Write or paste Python code, run the active file, and inspect output in the browser. The runner works well for algorithms, exercises, utility functions, and short data-processing scripts.

Run the active Python file from the editor
Create helper .py files for multi-file examples
Read errors and tracebacks in the output panel

Work with Files and Input

Create Python files in the workspace, upload data files, and use input-based examples when the browser supports the required runtime features.

Create and organize Python files in the sidebar
Upload CSV, text, JSON, and other data files for scripts to read
Use input() on supported browser environments

Use Packages and Visual Output

Add browser-compatible packages for data, charts, and learning examples, then review text or visual output in the same workspace.

Use common Pyodide packages such as numpy, pandas, matplotlib, and plotly
Install compatible packages through the package manager
Render plots and visual results in the output panel

Debug When You Need More Detail

Use the runner for direct script execution, then move to the Python debugger when you need breakpoints, stepping, and variable inspection.

Run scripts while iterating on an idea
Use the Python Debugger for line-by-line inspection
Use the Python Sandbox for separate experiments

Frequently Asked Questions

What is Python Code Runner?

Python Code Runner is a browser-based environment for running Python scripts and code files. It is useful for algorithms, coding exercises, utility scripts, data-processing examples, and multi-file projects that work in the browser Python runtime.

Why use Python Code Runner?

The code runner excels at executing complete programs and testing algorithms. Perfect for competitive programming, interview preparation, and script development.

Can I run multi-file Python scripts?

Yes. You can create multiple Python files and import your own helper modules from the playground workspace. This is useful for projects, exercises, and examples that are easier to organize across files.

Can I use input() in a Python script?

Yes, input() is supported on the hosted site when the browser environment allows SharedArrayBuffer. If that browser capability is unavailable, input-based examples may not work in that environment.

How fast is script execution?

Simple scripts usually start quickly and run directly in the browser through WebAssembly. Performance depends on the browser, device, package loading, and workload, so heavy numerical or long-running jobs may behave differently from local Python.