semvec/pypi-packages huggingface dataset:
basic-fengfengzai 0.0.2
short package description
Requires Python: >=3.6

# this is a simple test

this is a simple python package for test pypi

## for example

```
from multiply.multi_by_three import multiply_by_three
from divide.divide_by_three import divide_by_three

multiply_by_three(9)
divide_by_three(21)
```
vector-sdk 0.1.1
Universal SDK for Vector DBs
Requires Python: >=3.10

# Vector SDK

[![Upload Python Package](https://github.com/dhruv-anand-aintech/vector-sdk/actions/workflows/python-publish.yml/badge.svg?branch=main)](https://github.com/dhruv-anand-aintech/vector-sdk/actions/workflows/python-publish.yml)
[![Code style: Ruff](https://img.shields.io/badge/code%20style-ruff-000000.svg)](https://github.com/astral-sh/ruff)

Universal SDK for Vector Databases

## Features

- Universal interface for multiple vector databases
- Type-safe operations
- Consistent API across different vector DB providers
- Built-in telemetry (optional)

## Installation

```bash
pip install vector-sdk
```

## Development Setup

### Prerequisites
- Python 3.10 or higher
- Git
- pip (for installing uv)

### Local Development Setup

1. **Add Remote Repository to Your Local Repository:**
    ```bash
    git remote add origin https://github.com/dhruv-anand-aintech/vector-sdk.git
    git fetch origin
    git checkout -b main origin/main
    ```

2. **Install Development Tools:**
    ```bash
    pip install -U uv pre-commit
    ```

3. **Set Up the Development Environment:**
    ```bash
    # Create and activate virtual environment
    # Windows
    python -m venv .venv
    .venv\Scripts\activate

    # Unix/Mac
    python -m venv .venv
    source .venv/bin/activate

    # Install dependencies
    uv pip install -e ".[dev]"

    # Setup pre-commit hooks
    pre-commit install
    ```

## Project Structure

```
vector-sdk/
├── src/                    # Source code
│   └── vector_sdk/        # Main package
├── tests/                 # Test files
├── docs/                  # Documentation
└── .github/               # GitHub Actions workflows
```

## Development Workflow

1. Create a new branch for your feature/fix
2. Make your changes
3. Commit your changes (pre-commit hooks will run automatically)
4. Push and create a PR

## Version Management

We use semantic versioning (X.Y.Z):
- **X**: Major version (breaking changes)
- **Y**: Minor version (new features)
- **Z**: Patch version (bug fixes)

To bump version:
```bash
python bump_version.py <major|minor|patch|rc|release>
```

## Release Process

1. Bump version using `bump_version.py`
2. Run release script: (Only for Windows PowerShell)
    ```powershell
    .\release.ps1 <rc|release>
    ```

## Documentation

Detailed documentation is available in the `docs/` directory:
- [Installation Guide](docs/installation.md)
- [Usage Instructions](docs/usage.md)
- [Telemetry Information](docs/telemetry.md)
- [Versioning Information](docs/versioning.md)

## License

MIT License - see [LICENSE](LICENSE) file for details
```
bskytui 0.0.1a2
an incomplete Bluesky TUI client (using textual)
Requires Python: >=3.12

## `bskytui`

> [!NOTE]
> This project is under development and requires using python 3.12+ and [uv](https://docs.astral.sh/uv/getting-started/) (you should use uv anyways 🙂)

set the following environment variables (export or `.env` file):
```
export BSKY_HANDLE=your_handle.bsky.social
export BSKY_PASSWORD=your_password
```

## Run directly (no installation needed)
```bash
uv bskytui
```

## Run in docker ()
```bash
docker run --rm -it --env-file .env ghcr.io/astral-sh/uv:python3.13-bookworm-slim uvx bskytui
```


## Install and run in a virtual environment
```bash
uv venv && source .venv/bin/activate
uv pip install bskytui
uv run bskytui
```

## Or clone (for development) and run
```bash
git clone https://github.com/zzstoatzz/bsky
cd bsky
uv run bskytui
```

## Development
```bash
# Install dev dependencies and run with hot reload
uv pip install -e ".[dev]"
uv run scripts/dev.py
```