Euler's Method Visualizer

A sleek, interactive Streamlit app for solving first-order differential equations using Euler’s Method.

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About the Project

While reviewing for the AP Calculus exam, I was practicing Euler’s Method by hand — calculating tangent slopes, plugging into formulas, and repeating. That’s when I thought:

“Why not let a program do this for me instead?”

So I built this app — a clean, visual, and math-aware tool that not only solves differential equations with Euler’s Method, but also graphs the solution live, supports real math functions like sin(x), exp(x), and log(y), and gives an instant preview of how your solution behaves.

This tool is perfect for students, teachers, or anyone wanting to see numerical approximation in action — no manual computation required.

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Features

• Type any differential equation using x, y, sin, cos, exp, log, etc.
• Customizable initial conditions and step size
• Live plot of the approximated solution using Matplotlib
• No eval used — safe, symbolic parsing with SymPy
• Streamlit-based UI with smooth, modern layout

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Run the App using pip install streamlit sympy matplotlib and then streamlit run euler_method.py

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Future Expansions

• Make a dedicated and clean React-based framework
• Re-factor the graph to be interactive