semvec/pypi-packages huggingface dataset:
zakilla 1.0.2
A modern, easy to use, and fully customizable pagination system for discord.py

# Zakilla: Advanced Utilities For Bot Discord Python

<p align="center">
    <a href="https://github.com/ZaaakW/zakilla">
        <img src="https://img.shields.io/github/v/release/ZaaakW/zakilla?style=for-the-badge" alt="Release"/>
        <img src="https://img.shields.io/github/commit-activity/t/ZaaakW/zakilla?style=for-the-badge" alt="Commits"/>
        <img src="https://img.shields.io/github/languages/code-size/ZaaakW/zakilla?style=for-the-badge" alt="Code Size"/>
        <img src="https://img.shields.io/badge/Conventional%20Commits-✔️-blue?style=for-the-badge" alt="Conventional Commits"/>
        <img src="https://img.shields.io/badge/Python-3.8%2B-blue?style=for-the-badge" alt="Python Version"/>
    </a>
</p>

Zakilla is a powerful Python library designed to simplify and enhance the development of Discord bots. It provides advanced utilities, modular features, and a clean API to accelerate your bot-building workflow.

## Features

- Easy-to-use command framework
- Event handling utilities
- Modular extension system
- Support for Python 3.8+

## Installation

```bash
pip install zakilla
```
or 
```
pip install git+https://github.com/ZaaakW/zakilla.git
```

## Documentation

Click the url documentataion for information details

### Examples

- [Embed Example](https://github.com/ZaaakW/zakilla/tree/main/examples/embed): See how to create embed creator with setup messages.
- [Paginator Example](https://github.com/ZaaakW/zakilla/tree/main/examples/paginator): See how to create interactive paginated messages.

For more usage patterns and advanced features, check the [examples directory](https://github.com/ZaaakW/zakilla/tree/main/examples).

## License

This project is licensed under the Apache License 2.0 - see the [LICENSE.md](https://github.com/ZaaakW/zakilla/blob/main/LICENSE) file for details
pyannote-core 6.0.1
Advanced data structures for handling temporal segments with attached labels
Requires Python: >=3.10

# pyannote.core

> advanced data structures for handling and visualizing temporal segments with attached labels.

## Installation

```bash
$ pip install pyannote.core
```

Support for graphical visualization in Jupyter notebooks can be added with:

```bash
$ pip install pyannote.core[notebook]
```

## Documentation

The documentation is available at [http://pyannote.github.io/pyannote-core](http://pyannote.github.io/pyannote-core).

Sample notebooks are available [here](https://nbviewer.jupyter.org/github/pyannote/pyannote-core/blob/develop/notebook/index.ipynb).

## Citation

If you use `pyannote.core` in your research, please use the following citation:

```bibtex
@inproceedings{pyannote.metrics,
 author = {Herv\'e Bredin},
 title = {{pyannote.metrics: a toolkit for reproducible evaluation, diagnostic, and error analysis of speaker diarization systems}},
 booktitle = {{Interspeech 2017, 18th Annual Conference of the International Speech Communication Association}},
 year = {2017},
 month = {August},
 address = {Stockholm, Sweden},
 url = {http://pyannote.github.io/pyannote-metrics},
}
```
green-igen 0.2.7
Analytical continuation suits for Green Software Package
Requires Python: >=3.8

[![GitHub license](https://img.shields.io/github/license/Green-Phys/green-igen?cacheSeconds=3600&color=informational&label=License)](./LICENSE)
[![GitHub license](https://img.shields.io/badge/C%2B%2B-17-blue)](https://en.cppreference.com/w/cpp/compiler_support/17)

```
 █▀▀█ █▀▀█ █▀▀ █▀▀ █▀▀▄
 █ ▄▄ █▄▄▀ █▀▀ █▀▀ █  █
 █▄▄█ ▀ ▀▀ ▀▀▀ ▀▀▀ ▀  ▀
```
***

`Green/IntegralGeneration` is a part of Green Software Toolkit and uses modified PySCF code
to generate Ewald correction into Coulomb integrals.

# Installation

## Dependencies

`Green/IntegralGeneration` has the following required external dependencies
  - HDF5 library version >= 1.10.2
  - PySCF
  - NumPy
  - SciPy
  - h5py

## Installation of Python package

We provide pre-built binaries for major Linux distributions and recent MacOS version via `pip`.
For installation using `pip `simply type `pip install green-igen`.
If pre-built binaries can not be used, package will be built from sources.

# Acknowledgements

This work is supported by National Science Foundation under the award OCA-2310582