DerivativeXpert

🧮 The ultimate tool for basic and advanced calculus, including plotting, derivatives, limits, and more.

---

Table of Contents

• Introduction
• Features
• Installation
• Usage
• Testing
• License
• Contributing

Introduction

DerivativeXpert is a comprehensive tool designed to assist with various calculus operations. Whether you are a student, educator, or professional, DerivativeXpert provides functionalities for basic calculations, advanced calculus operations, and plotting.

Features

• Basic Calculations: Perform basic arithmetic and algebraic operations.
• Advanced Calculus: Compute derivatives, slope, concavity, and more.
• Plotting: Visualize functions and their derivatives.
• Documentation: Well-documented code with docstrings for all major classes and methods.
• Code Style: Ensures code adheres to PEP 8 standards using pycodestyle.

Installation

To install DerivativeXpert, clone the repository and install the required dependencies:

git clone https://github.com/Ad7amstein/DerivativeXpert.git
cd DerivativeXpert
pip install -r requirements.txt

Usage

To use DerivativeXpert, run the main.py script:

python main.py

You can also import and use the modules directly in your own scripts:

from basic_calculator.basic_calc import BasicCalculator
from advanced_calc.function import Function

Example usage

calc = BasicCalculator("ln(E^2)+3")
result = calc.evaluate()
print(result)

func = Function("x^2 + 3*x + 2")
derivative_result = func.differentiate()
print(derivative_result)

Testing

To run the tests, use the unittest framework:

python -m unittest discover tests

The tests cover various aspects of the project, including basic calculations, advanced calculus operations, and code style checks.

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Contributing

Contributions are welcome! Please fork the repository and create a pull request with your changes. Ensure that your code adheres to the project's coding standards and includes appropriate tests.

---

Thank you for using DerivativeXpert! If you have any questions or feedback, feel free to open an issue on GitHub.