Python Visualizer

Visualize Python code execution step by step

# Use memoization to optimize the recursive Fibonacci implementation.
fibonacci_cache = {}

def memoized_fibonacci(n):
    # Return 1 for the first and second Fibonacci numbers (base case)
    if n <= 2:
        return 1

    # If the result is already cached, return it from the cache
    if n in fibonacci_cache:
        return fibonacci_cache[n]

    # Recursively calculate the Fibonacci number and store it in the cache
    fibonacci_cache[n] = memoized_fibonacci(n - 1) + memoized_fibonacci(n - 2)
    return fibonacci_cache[n]

result = memoized_fibonacci(3)
print(result)

Python Code Visualizer: Step-by-Step Python Tutor for Learning Code Execution

Are you learning Python and struggling to understand how your code runs under the hood? Our Python Code Visualizer lets you explore Python code execution step by step, helping you to see exactly how your code behaves, how variables change, and how functions are called. Whether you're a beginner or an advanced learner, this tool is designed to offer clarity and a deeper understanding of Python code flow.

Why Use Python Visualizer?

Understanding how Python code is executed is crucial for mastering the language. This tool allows you to:

  • See the call stack in real time: Watch how functions are called and how frames are added and removed as your code runs.
  • View local variables: Monitor changes to variables within each function as the execution progresses.
  • Trace errors: Easily spot where exceptions occur in your code and why.
  • Optimize recursive functions: Track how memoization or other optimizations reduce redundant calculations.

Key Features

  • Interactive Python Tutor: Learn Python concepts like recursion, loops, and memoization with instant feedback.
  • Frame and Call Stack Visualization: Watch how frames are created and destroyed, and understand how your program’s flow works.
  • Real-Time Output Monitoring: Track stdout and stderr as your code executes.
  • Error Tracking: Get clear insights into exceptions and where they occur in your code.

How It Works

  1. Paste your Python code: Enter your code into our Python visualizer.
  2. Run the visualizer: Execute your code and watch how it unfolds, step by step.
  3. Analyze the steps: See each step of the code’s execution, from the function calls to variable changes and even returned values.

Whether you're practicing for coding interviews, debugging code, or simply exploring how Python works under the hood, this tool offers a clear and comprehensive way to visualize Python execution.