Metadata-Version: 2.1
Name: pygscholar
Version: 0.1.0
Summary: Tool for interacting with google scholar
Home-page: https://github.com/finsberg/pygscholar
Author: Henrik Finsberg
Author-email: henriknf@simula.no
License: MIT
Keywords: action potential,cell models,features
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Provides-Extra: dev
Provides-Extra: docs
Provides-Extra: slack
Provides-Extra: test
License-File: LICENSE

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# pygcholar

Tool for extracting statistics from Google scholar built upon [`scholarly`](https://scholarly.readthedocs.io)

Imagine you have a department full of researchers and you want to keep track of the most recent or most cited papers in the department, or that you simply want to track yourself, then this package might be what you need.

- Documentation: https://finsberg.github.io/pygscholar
- Source code: https://github.com/finsberg/pygscholar

## Install
`pygscolar` is primarily a command line tool which makes it very suitable to install with [`pipx`](https://pypa.github.io/pipx/)
```
pipx install pygscholar
```

You can of course also install it with regular `pip`
```
python -m pip install pygscholar
```

Once installed you should get access to the `scholar` command. See [the tutorial](https://finsberg.github.io/pygscholar/docs/tutorial.html) for a guide on how to use this command.


## Contributing
See https://finsberg.github.io/pygscholar/docs/CONTRIBUTING.html

## License
MIT
