semvec/pypi-packages huggingface dataset:
kedrogen 0.3.0
A simple CLI command that generate a Kedro project from a cookiecutter template in the current directory
License: MIT
Requires Python: >=3.9
Keywords: cli, kedro, cookiecutter

# kedrogen

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A simple CLI command that generate a Kedro project from a cookiecutter template in the current directory.

## Installation

```console
pip install kedrogen
```
  
## Usage

```console
$ kedrogen [OPTIONS] TEMPLATE
```

**Arguments**:

* `TEMPLATE_PATH`: Specify the template to use when creating the project.
This can be the path to a local directory, a URL to a remote VCS repository supported
by `cookiecutter` or path to either a local or remote zip file.
  [required]

**Options**:

* `-c, --checkout TEXT`: The branch, tag or commit ID to checkout after clone.
* `-d, --directory TEXT`: An optional directory inside the repository to use as the template, that is,
the directory within the repository where cookiecutter.json lives.
* `-p, --password TEXT`: The password to use when extracting a password protected zipfile
* `-vv, --verbose`: Enable verbose output to show detailed progress and debug information.
* `-q, --quiet`: Suppress all non-error messages.
* `-v, --version`: Show the version and exit.
* `--install-completion`: Install completion for the current shell.
* `--show-completion`: Show completion for the current shell, to copy it or customize the installation.
* `-h, --help`: Show this message and exit.


## Contributing

Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.

## License

`kedrogen` was created by Shafayet Khan Shafee. It is licensed under the terms of the MIT license.
swimrankings 0.1.1
A modern Python library for interacting with swimrankings.net
License: MIT
Requires Python: >=3.8

# SwimRankings Python Library

A modern Python library for interacting with [swimrankings.net](https://www.swimrankings.net), providing easy access to athlete data, search functionality, and more.

## Features

- 🏊‍♀️ **Athlete Search**: Search for athletes by name, gender, and other criteria
- 📈 **Detailed Data**: Fetch personal bests, profile information, and more
- 📊 **Type Hints**: Full type annotation support for better IDE experience
- 🔍 **Flexible Filtering**: Filter athletes by gender, country, club, etc.
- 🚀 **Async Support**: Coming soon!

## Installation

```bash
pip install swimrankings
```

## Quick Start

```python
from swimrankings import Athletes

# Search for athletes by name
athletes = Athletes(name="Druwel")
for athlete in athletes:
    print(f"{athlete.full_name} ({athlete.birth_year}) - {athlete.country}")

# Get detailed information including personal bests
athlete = athletes[0]
details = athlete.get_details()

print(f"Personal bests: {len(details.personal_bests)}")
for pb in details.personal_bests:
    print(f"  {pb.event} ({pb.course}): {pb.time}")
```

## Documentation

📖 **[Complete Documentation](https://maurodruwel.be/Swimrankings)** - Full API reference, examples, and guides

For detailed usage examples, API reference, error handling, and contributing guidelines, please visit the complete documentation.

## License

MIT License - see [LICENSE](LICENSE) file for details.

## Contributing

Contributions are welcome! Please feel free to submit a Pull Request.