semvec/pypi-packages huggingface dataset:
ducknotify 1.0.0
**DuckNotify** is a lightweight, cross-platform Python library for sending desktop notifications effortlessly. It works on **Windows**, **macOS**, and **Linux**, providing a simple API to notify users with custom messages.
Requires Python: >=3.6

HereвЂ™s the description for **DuckNotify**:

---

# DuckNotify

**DuckNotify** is a lightweight, cross-platform Python library for sending desktop notifications effortlessly. It works on **Windows**, **macOS**, and **Linux**, providing a simple API to notify users with custom messages.

---

## Features
- **Cross-Platform Support**: Works on Windows, macOS, and Linux.
- **Custom Notifications**: Set a title, message, and optional icon for your notifications.
- **Lightweight**: Minimal dependencies and easy to use.

---

## Installation
Install DuckNotify using pip:

```bash
pip install ducknotify  
```

---

## Usage
HereвЂ™s how you can use DuckNotify to send notifications:

```python
import ducknotify

# Send a simple notification
ducknotify.notify("DuckNotify Alert", "This is your notification message!")

# Send a notification with an icon (optional)
ducknotify.notify("DuckNotify", "Message with an icon!", icon="icon.png")
```

---

## Supported Platforms
- **macOS**
- **Linux**
- **Windows**

---

## License
DuckNotify is licensed under the MIT License, making it free and open-source for everyone.
dummy-ci-cd 0.1.0
A CI/CD demo project
Requires Python: <4.0,>=3.11

# Dummy CI/CD Repository

Este repositorio está diseñado como un entorno de pruebas para configurar y experimentar con **CI/CD** en diferentes proyectos.

## Propósito

Usamos este repositorio para validar configuraciones de integración y despliegue continuo (CI/CD) antes de implementarlas en proyectos futuros.

## Tecnologías empleadas

- **Sphinx** para generar documentación.
- **Poetry** como gestor de dependencias.
- CI/CD configurado para validación de documentación automáticamente.

## Cómo usar esta plantilla

1. Clona este repositorio:
   ```bash
   git clone https://github.com/tu-usuario/dummy-ci-cd.git
   ```
2. Instala dependencias con Poetry:
   ```bash
   poetry install
   ```

¡Ahora estás listo para probar nuevas configuraciones de CI/CD!
neos-common 0.14.17
Neos Common Code
Requires Python: >=3.10

# NEOS Platform Common Code v0.14.17

## Prerequisites

The following packages are used across python repositories. A global install of them all is *highly* recommended.

* [uv](https://docs.astral.sh/uv/getting-started/installation/)
* [Invoke](https://www.pyinvoke.org/installing.html)

### WSL

If running on Windows, you may need to install `distutils` to install the service.

```bash
$ sudo apt-get install python3.8-distutils
```

## Initial setup

```bash
$ invoke install-dev
```

### Install on MacOS

* Install kafka dependencies

```bash
$ brew install librdkafka
```

* Setup environment variables on .bashrc or .zshrc

```bash
export CFLAGS="-I/opt/homebrew/include"
export LDFLAGS="-L/opt/homebrew/lib"
export LIBRARY_PATH="/opt/homebrew/lib"
```

* Execute the following command to install the dependencies

```bash
$ invoke install-dev
```

## Code Quality

### Tests

```bash
invoke tests
invoke tests-coverage
```

## Linting

```bash
invoke check-style
invoke isort
```

## Releases

Release management is handled using `changelog-gen`. The below commands will
tag a new release, and generate the matching changelog entries. Jenkins will
then publish the release to the artifact repository.

```bash
$ invoke release
$ invoke bump-patch
$ invoke bump-minor
$ invoke bump-major
> vX.Y.Z
```
pyproteins 2.1.1
General purpose bionformatics library
Requires Python: >=3.9



#


## Development purpose

```sh
git clone https://github.com/glaunay/pyproteins.git  LOCAL_PATH_TO_REPO
```

Check for dependencies in `LOCAL_PATH_TO_REPO/setup.py`

```python
sys.path.append(LOCAL_PATH_TO_REPO/src)
```

## Deployment module

```sh
pip install pyproteins
```

## Update pip module
 TO DO

### modules organization

#### container modules

##### Core
Frequently used container and functions.
Downloading and parsing XML in a generic way.
Two-level dictionnaries.

##### customCollection

Managment of a collection of object which can be constructed from flat files (ex: uniprot).

* collectionPath: path to a directory of flat files
* constructor: object constructor
* indexer function to map filename and collection key

#### sequence modules

##### msa

* Load alignemnt files
* Filter alignment
* Compute statistics

##### peptide
Fasta framed informations, like amino-acid types, domain boundaries and secondary structure states.

##### psipred
DEPRECATED

#### sequence alignment Modules

* nw_custom: the Needleman & Wunsch implementaion
* scoringFunctions : AA, AA/SS2, PWA
* scoringMatrix : Blosum62

#### utils modules

test Cecile