semvec/pypi-packages huggingface dataset:
quickdiscord 1.0.2
A simple Quick discord bot generator that will make all the necessary starter files.
Requires Python: >=3.8

# QuickDiscord

A simple and efficient Discord bot generator that helps you set up a bot with database support, cogs, and environment configurations in seconds! 🚀

## ✨ Features

- 🔧 **Quick Setup** – Generate a fully functional Discord bot project effortlessly.
- 📂 **Modular Cogs Support** – Choose to use cogs for a structured and scalable bot.
- 🛢️ **Database Integration** – Supports SQLite, PostgreSQL, and MongoDB.
- ⚙️ **Configurable Environment** – Use either `config.py` or `.env` for storing credentials.
- 📦 **Automated Dependency Installation** – Installs required packages automatically.

---

## 📌 Installation

### Prerequisites
Make sure you have **Python 3.8+** installed.

```bash
python --version
```

### Install QuickDiscord

```bash
pip install quickdiscord
```

---

## 🚀 Usage

To generate a new bot project, run:

```bash
python -m quickdiscord
```

You'll be prompted with a series of questions to customize your bot:

- **Programming Language** (Currently only Python is supported)
- **Configuration Method** (`config.py` or `.env`)
- **Use Cogs?** (Modular command files)
- **Database Type** (None, SQLite, PostgreSQL, MongoDB)

After answering the prompts, QuickDiscord will generate the project structure and install dependencies automatically. 🎉

---

## 📁 Project Structure

```
📦 YourBotProject
├── 📂 cogs/             # Stores command files (if cogs are enabled)
│   ├── __init__.py
│   ├── example.py       # Example cog
├── 📜 main.py           # Main bot file
├── 📜 config.py         # Stores bot token and prefix (if config.py is chosen)
├── 📜 .env              # Stores bot token and prefix (if .env is chosen)
├── 📜 database.py       # Database setup file (if a database is selected)
└── 📜 requirements.txt  # Installed dependencies
```

---

## 🔧 Available Commands

Once your bot is running, you can use these basic commands:

| Command  | Description        |
|----------|--------------------|
| `!hello` | Responds with "Hello!" |
| More...  | Add your own commands! |

---

## 🛠️ Supported Databases

QuickDiscord allows you to choose a database during setup:

- **SQLite** (Default, lightweight, file-based)
- **PostgreSQL** (Enterprise-level, requires `psycopg2`)
- **MongoDB** (NoSQL database, requires `pymongo`)

---

## 💡 Example

After generating your bot, navigate to your project folder and run:

```bash
python main.py
```

Your bot should now be running! 🎉

---

## 🎯 Contributing

We welcome contributions! Feel free to submit a pull request or open an issue.

---

## 📜 License

QuickDiscord is open-source and licensed under the **MIT License**.

---

## 📬 Need Help?

- 📖 [Official Discord.py Documentation](https://discordpy.readthedocs.io/en/stable/)
- 🛠️ Open an issue if you run into problems!

Happy coding! 🎩✨
bm23id24-xas 0.0.13
Library for XAS data analysis

bm23id24_xas is a python library based on xraylarch, pyfitit and pymca
It is created on BM23 and ID24 beamlines of the European Synchrotron Radiation Facility (ESRF)
It provides tools for analysis of X-ray Absorption spectroscopy data 

bm23id24_xas consists of 4 modules:
 - xas
 - pca_estimator
 - MCR-ALS 
 - LCA
 
 xas allows to load the data in .h5 format (the standart format for BM23 and ID24 beamlines after 2020 ESRF upgrade), perform calibration, alignment, interpolation, merge, normalization and EXAFS extraction. The result is a dictionary contatining scan numbers as keys and arrays with processed data as sub-dictionaries. The result is a dictionary.

 xas exist in an old xas_v2_6 and new xasproc_v2_82 forms to test the new form
 
 pca_estimator works with the dictionary produced by xas but can also work with an independent txt file contatining energy as the first column and normalized XAS spectra as 2nd and other columns. It allows to interactivelly perform PCA. The function is based on pyfitit, but readapted for the needs of the beamline users. The result is a dictionary.
 
 MCR-ALS works with the dictionary produced by xas, but can also work with an independent txt file contatining energy as the first column and normalized XAS spectra as 2nd and other columns. It allows to interactivelly perform MCR-ALS analysis. It is possible to provide reference spectra if needed as dictionaries produced by xas or txt files if needed. The result is a dictionary.
 
 LCA works with the dictionary produced by xas, but can also work with txt files for both, data and references.
andromedaClient 0.0.8
A python package to interact with the Andromeda API of the Metropolitan Region Rhine-Neckar.
Requires Python: >=3.8

# AndromedaClient

AndromedaClient is a python client for interacting with the Andromeda API of the Rhine-Neckar Metropolitan Region.

## Installation

You can install AndromedaClient using pip:

```bash
pip install andromedaClient
```

## Usage

First, import the AndromedaClient class and create a new client:

```python
from andromedaClient import AndromedaClient
# username and password is only required for upload operations
client = AndromedaClient('https://contextbroker.digitale-mrn.de', 'username', 'password')
```

You can then use the client to make requests to the Andromeda API:

```python
response = client.get('/entities/?type=Gemeinde')
```
mcp-myip 0.1.1
Model context protocol server for retrieving IP information
Requires Python: >=3.11

# MyIP MCP Server

## Tools

The server exposes a `get_ip_info` tool to retrieve your public ip address from ifconfig.me.

## Installation

```json
{
  "mcpServers": {
    "myip": {
      "command": "uvx",
      "args": ["mcp-myip"]
    }
  }
}
```