Calpylus 0.0.3

Calpylus is a powerful calculus toolkit built in Python.

📐 Calpylus

Calpylus is a powerful and beginner-friendly Python library built for symbolic and visual calculus. Whether you're a student studying calculus, an educator building tools, or a developer creating math-powered apps — Calpylus has your back with expressive syntax, beautiful plotting, and a growing feature set.

Developed with ❤️ by Mohammad Mahfuz Rahman

---

✨ Features

• ✅ Symbolic Differentiation and Integration
• ✅ 2D Function Plotting (Matplotlib-based)
• ✅ 3D Surface Plotting (graph3D)
• ✅ Simple, intuitive API
• ✅ Built using SymPy and Matplotlib

---

📦 Installation

Install directly from PyPI:

pip install calpylus

Or install from GitHub (for development):

pip install git+https://github.com/mahfuz0712/Calpylus.git

---

🧪 Quick Start

import matplotlib.pyplot as plt
from calpylus.calculus import Calculus as cl

# Define a function
f = "sin(x)"
g = "cos(x)"

# Plot 2D graphs
cl.graph(f)
cl.graph(g)

# Plot a 3D surface
cl.graph3D("sin(x)*cos(y)")

# Final blocking call to keep all windows open until closed manually
plt.show()

---

Differential & Integral Calculus

Symbolically differentiate an expression with respect to a variable.

cl.differentiate("x**2 + sin(x)")
# Output: 2*x + cos(x)

cl.differentiate(expr: str, variable='x')

---

Symbolically integrate an expression with respect to a variable.

cl.integrate("x**2")
# Output: x**3/3

cl.integrate(expr: str, variable='x')

---

Graphical View

Plots a 2D graph of a function of x.

cl.graph(expr: str)

cl.graph("x**2 + 2*x + 1")

---

3D Graph

Plots a 3D surface plot of a function in terms of x and y.

cl.graph3D(expr: str)
cl.graph3D("sin(x) * cos(y)")

---

🧠 Under the Hood

Feature	Library Used
Symbolic Math	sympy
2D/3D Plotting	matplotlib

---

🤝 Contributing

Pull requests are welcome! For major changes, please open an issue first to discuss what you would like to change or add.

To run locally:

git clone https://github.com/mahfuz0712/Calpylus.git
cd Calpylus
pip install -e .

---

📜 License

This project is licensed under the MIT License.

---

🙋 FAQ

Q: Can I use this library without knowing advanced calculus?
A: Yes! The library is designed to be intuitive and beginner-friendly.

Q: Will you add support for limits, series expansion, etc.?
A: Absolutely. These features are planned in future releases.

---

🌐 Links

• 📦 PyPI Project
• 🧠 Developer: @mahfuz0712
• 📚 SymPy Documentation

---

“Mathematics is the music of reason.” — James Joseph Sylvester
Calpylus turns that music into code. 🎶