A real free Python interpreter, right in your browser

    Python, explained and executed.

    Python is one of the world's most popular programming languages: readable, versatile, and powerful. PythonExecutor gives you a zero-setup playground so you can actually run Python while you learn what it can do.

    Pyodide runtime (CPython 3.12) Runs entirely client-side
    main.py
    def greet(name):
        return f"Hello, {name}!"
    
    for who in ["world", "Python", "you"]:
        print(greet(who))
    $ python main.py
    Hello, world!
    Hello, Python!
    Hello, you!

    What is Python?

    Python is a high-level, interpreted programming language created by Guido van Rossum and first released in 1991. It emphasizes readability, so code looks close to plain English, and ships with a famously rich standard library.

    Today it is used everywhere: scientific research, finance, web services, automation, game scripting, and as the default language of the AI revolution.

    How the interpreter works

    Unlike compiled languages, Python source is read line-by-line by an interpreter. CPython compiles your source to bytecode and runs it on a virtual machine, meaning you can edit and re-run instantly, with no build step.

    PythonExecutor uses Pyodide, a port of CPython to WebAssembly. The full interpreter runs inside your browser tab, so your code never leaves your machine.

    What people build with Python

    A few of the domains where Python is the default choice.

    Data science & AI

    Python is the lingua franca of machine learning. NumPy, pandas, PyTorch, and scikit-learn power most modern AI systems.

    Web backends

    Frameworks like Django, Flask, and FastAPI run a large share of the modern web, from startups to Instagram-scale services.

    Automation & scripting

    Replace tedious clicks with a 20-line script. Python excels at file wrangling, scraping, and gluing systems together.

    Data engineering

    ETL pipelines, analytics tooling, and notebooks all lean on Python to move, clean, and query data at scale.

    See it in action

    Three small examples that show Python's expressiveness. Try them yourself in the Playground.

    Try in Playground

    Crunch some numbers

    Compute the mean and standard deviation of a list, no imports needed for the basics.

    example.py
    nums = [12, 18, 25, 31, 47, 52, 64]
    mean = sum(nums) / len(nums)
    variance = sum((n - mean) ** 2 for n in nums) / len(nums)
    std = variance ** 0.5
    
    print(f"mean = {mean:.2f}")
    print(f"std  = {std:.2f}")
    $ python example.py
    mean = 35.57
    std = 17.66

    Transform text in one line

    List comprehensions make data transformations short and expressive.

    example.py
    words = ["python", "is", "fun"]
    shouted = [w.upper() + "!" for w in words]
    
    print(" ".join(shouted))
    $ python example.py
    PYTHON! IS! FUN!

    Recursion, the classic way

    A tiny Fibonacci function shows how Python keeps logic close to the math.

    example.py
    def fib(n):
        if n < 2:
            return n
        return fib(n - 1) + fib(n - 2)
    
    print([fib(i) for i in range(10)])
    $ python example.py
    [0, 1, 1, 2, 3, 5, 8, 13, 21, 34]

    Ready to write some Python?

    Open the Playground for a blank file, a real interpreter, and instant output.

    Launch Playground
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