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        "author": "Derek Haynes",
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        "description": "# PetalData Python Library\n\nExport your data from cloud apps like Stripe, Hubspot, and Metabase into Pandas Dataframes with [PetalData](https://petaldata.app).\n\n## Installation\n\n```\npip install --upgrade petaldata\n```\n\n## Requirements\n\nPython 3.4+\n\n## Usage\n\n```python\nimport petaldata\n```\n\n## Example Usage\n\nSee the [examples directory](https://github.com/petaldata/petaldata-python/tree/master/examples) in the [GitHub repo](https://github.com/petaldata/petaldata-python).\n\n## Documentation\n\nInteractive documentation is at https://petaldata.app/.\n\n## Releasing\n\n* Update CHANGELOG\n* Bump the version number in `setup.py`.\n* Generate the distribution archive and upload the archive:\n\n```\nrm dist/*\npython setup.py sdist bdist_wheel\npython -m twine upload --repository-url https://upload.pypi.org/legacy/ dist/*\n```\n\n## Adding a Dataset\n\n* Create a `petaldata/datasets/[CLOUD_APP]` directory\n* Create a `petaldata/datasets/[CLOUD_APP]/[DATASET_NAME (PLURAL)].py` file.\n  * Create a class that inherits from `petaldata.datasets.abstract.Dataset`. See `petaldata.datasets.stripe.Invoices` for an example.\n* Create a `petaldata/datasets/[CLOUD_APP]/__init__.py` file. \n  * Import the dataset created above. \n  * Add config variables needed to use the `[CLOUD_APP] API (like an `API KEY`).\n* Add `from petaldata.datasets import [CLOUD_APP]` to `petaldata/__init__.py`\n\n## Questions\n\nEmail derek@petaldata.app.\n\n",
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