📘 JEE Calculus Programming Suite

Interactive Calculus Engine for Class 11–12 & JEE Main/Advanced
Built with Streamlit • SymPy • NumPy • Matplotlib

📘 JEE Calculus Programming Suite Interactive Calculus Engine built with Streamlit, SymPy, NumPy & Matplotlib This project provides a modular, interactive calculus toolkit designed for Class 11–12 + JEE Main/Advanced students. It runs entirely on Streamlit Cloud, allowing users to explore calculus concepts visually and interactively.

🚀 Live Demo (Streamlit Cloud) Deploy your app instantly on Streamlit Cloud:

Code https://share.streamlit.io//calculus-programming (Replace with your GitHub username once deployed.)

📂 Project Structure Code calculus-programming/ │ ├── app.py # Main Streamlit application ├── requirements.txt # Python dependencies ├── .gitignore # Ignore venv, cache, build artifacts │ └── modules/ ├── limits.py # Limits calculator ├── derivatives.py # Derivatives engine ├── integrals.py # Indefinite & definite integrals ├── aod.py # Applications of derivatives ├── differential_eq.py # Differential equation solver └── numerical_methods.py # Numerical calculus (derivative + integration) Each module is fully isolated, lint‑clean (Ruff + Pylance), and production‑ready.

✨ Features ✔ Limits Calculator Evaluate symbolic limits using SymPy.

✔ Derivatives Engine Compute derivatives of algebraic, trigonometric, exponential, and composite functions.

✔ Integration Engine Supports both indefinite and definite integrals.

✔ Applications of Derivatives (AOD) Critical points

Maxima / Minima

Inflection points

✔ Differential Equation Solver Solve first‑order ODEs using SymPy’s dsolve.

✔ Numerical Methods Numerical derivative (finite difference)

Numerical integration (trapezoidal rule)

✔ Streamlit UI Clean sidebar navigation with modular execution.

🛠 Installation (Local Development) Clone the repository:

bash git clone https://github.com/jagdevsinghdosanjh/calculus-programming cd calculus-programming Create a virtual environment:

bash python -m venv .calculus-venv Activate it:

bash

Windows

..calculus-venv\Scripts\activate Install dependencies:

bash pip install -r requirements.txt Run the app:

bash streamlit run app.py ☁️ Deploying to Streamlit Cloud Push your project to GitHub

Visit: https://share.streamlit.io

Select your repository

Choose app.py as the entry point

Streamlit Cloud will auto‑install dependencies from requirements.txt

Your app will be live in seconds.

📦 requirements.txt Code streamlit sympy numpy matplotlib These packages are fully compatible with Streamlit Cloud.

🧹 .gitignore Code

Python cache

pycache/ *.pyc *.pyo *.pyd

Virtual environments

.calculus-venv/ venv/ env/

Streamlit

.streamlit/

IDE settings

.vscode/ .idea/

Jupyter

.ipynb_checkpoints/

Build artifacts

build/ dist/ *.egg-info/

Logs

*.log

OS files

.DS_Store Thumbs.db 📜 License This project is open‑source and available under the MIT License.

👨‍💻 Author Jagdev Singh Dosanjh
Ed‑Tech Founder • Architect of Modular PCM Portal Amritsar, Punjab, India

⭐ Contribute Pull requests are welcome! If you want additional modules (Vector Calculus, Laplace Transform, Fourier Series), feel free to open an issue.