Metadata-Version: 2.2
Name: quadexpo
Version: 1.4
Summary: A mathematical library implementing the Quadexpo function
Home-page: https://sourceduty.com
Author: Sourceduty
Author-email: sourceduty@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: matplotlib
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: requires-dist
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# Quadexpo 1.4

A Python library implementing the Quadexpo function for modeling complex systems involving both quadratic and exponential behaviors.

## What's New in 1.4?
- **Object-Oriented Design**: Use a class-based approach for easy function manipulation.
- **Symbolic Integration Support**: Compute symbolic integrals using SymPy.
- **Data Handling**: Generate and analyze function evaluations using Pandas.
- **Expanded Test Suite**: More robust tests covering symbolic computation and data generation.

## Installation

```sh
pip install quadexpo
```

## Usage

```python
from quadexpo import Quadexpo
import numpy as np

# Initialize with parameters
qe = Quadexpo(1, -2, 3, 0.5)

# Evaluate at a point
print(qe.evaluate(5))

# Compute definite integral
print(qe.integrate(0, 5))

# Get symbolic integral
print(qe.symbolic_integral())

# Generate function data
x_vals = np.linspace(0, 10, 10)
df = qe.generate_data(x_vals)
print(df)
```

## License

MIT License
