semvec/pypi-packages huggingface dataset:
photon-flux-estimation 0.1.1
Library to compute estimated photon flux from multiphoton imaging data
Requires Python: >=3.8

# Photon Flux Estimation

A Python library for estimating photon flux from multiphoton imaging data. This package provides tools to compute photon sensitivity and generate photon flux visualizations from imaging data.

## Installation

```bash
pip install photon-flux-estimation
```

## Features

- Compute photon sensitivity from imaging data
- Generate photon transfer curve visualizations
- Calculate photon flux estimates
- Visualize coefficient of variation
- Demo notebook with DANDI dataset integration

## Usage

```python
from photon_flux_estimation import PhotonFluxAnalyzer

# Load your imaging data (height, width, time)
movie = your_data_loading_function()

# Create estimator and compute sensitivity
estimator = PhotonFluxEstimator(movie)
results = estimator.compute_sensitivity()

print(f"Sensitivity: {results['sensitivity']:.2f}")
print(f"Zero level: {results['zero_level']:.2f}")

# Get photon flux movie
photon_flux = estimator.compute_photon_flux()

# Generate visualization
from photon_flux_estimation import (
    plot_photon_transfer_curve,
    plot_average_intensity,
    plot_coefficient_variation,
    plot_photon_flux,
)

plot_average_intensity(
    movie=movie,
    title="Average Intensity",
    save_path=str(figure_filename) + "-A.png",
)
plot_photon_transfer_curve(
    results=results,
    title="Photon Transfer Curve",
    save_path=str(figure_filename) + "-B.png",
)
plot_coefficient_variation(
    movie=movie,
    results=results,
    title="Coefficient of Variation",
    save_path=str(figure_filename) + "-C.png",
)
plot_photon_flux(
    movie=movie,
    results=results,
    title="Average Photon Flux",
    save_path=str(figure_filename) + "-D.png",
)
```

## Citation

This package is based on code from the [compress-multiphoton](https://github.com/datajoint/compress-multiphoton) repository. If you use this package in your research, please cite both this package and the original repository.

## Documentation

For detailed documentation and examples, please see the [demo notebook](notebooks/demo.ipynb).

## License

MIT License. See [LICENSE](LICENSE) for details.
iitjp 0.2.18
A virtual teaching assistant with voice capabilities for Statistics education.
Requires Python: >=3.7

# IITJP

A Python package for virtual teaching assistant with voice capabilities.

## Features

- Virtual teacher RajLaxmi who can speak to students
- Interactive statistics quiz
- Voice greetings and feedback

## Installation

```bash
pip install iitjp
```

## Usage

```python
import iitjp

# Get a greeting from your virtual teacher
iitjp.mam.greetings()

# Start an interactive quiz
iitjp.mam.quiz()

# Exit from a quiz
iitjp.mam.quitquiz()

# Say goodbye to your teacher
iitjp.mam.thanks()

# Enable or disable silent mode (no audio)
iitjp.enable_silent_mode(True)  # Enable silent mode
iitjp.enable_silent_mode(False)  # Disable silent mode (default)
```

## Requirements

- Python 3.6+
- NumPy
- SciPy
- PyAudio

## License

MIT