semvec/pypi-packages huggingface dataset:
bg-controlled-vocabularies-utils 0.1.0
Collection of Python modules for managing controlled vocabularies.
Requires Python: >=3.6
Keywords: bg_controlled_vocabularies_utils

================================
BG Controlled Vocabularies Utils
================================

Collection of Python modules for managing controlled vocabularies.


Modules
-------

* CVManager - module for managing controlled vocabularies

Credits
-------

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage


=======
History
=======

0.1.0 (2024-10-29)
------------------

* First release on PyPI.
locusts-r-us 0.0.0
A Python package that introduces locusts into your codebase

# locusts-r-us

[![CI](https://github.com/locusts-r-us/locusts/actions/workflows/python.yml/badge.svg)](https://github.com/locusts-r-us/locusts/actions/workflows/python.yml)

## Description

locusts-r-us is a library that provides a way to introduce locusts into your code.

Why would you want to do that? I don't know.

## Installation

```sh
pip install locusts-r-us
```

## Example

```python
import locusts

def main():
  locusts.introduce_locusts()
  # Locusts are now in your codebase!

if __name__ == "__main__":
 main()
```

## License

This project is licensed under the BSD Zero Clause License. See the [LICENSE](../LICENSE) file for details.
image-processing-daniel 0.0.1
NTT DATA bootcamp
Requires Python: >=3.8

# image_processing

Description. 
The package package_name is used to:
	- 
	-

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install package_name

```bash
pip install package_name
```

## Author
daniel_oliveira

## License
[MIT](https://choosealicense.com/licenses/mit/)