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README.md

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*Contents:* **[Use Cases](#Use-Cases)** | **[Installation](#Installation)** | **[Usage](#Usage)** | **[Dependencies](#Dependencies)** | **[Known Limitations](#Known-Limitations)** | **[Contributing](#Contributing)** | **[License](#License)**
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*Contents:* **[Use Cases](#Use-Cases)** | **[Installation](#Installation)** | **[Usage](#Usage)** | **[License](#License)**
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## Dependencies
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AWS Data Wrangler project relies on others great initiatives:
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* **[Boto3](https://github.com/boto/boto3)**
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* **[Pandas](https://github.com/pandas-dev/pandas)**
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* **[Apache Arrow](https://github.com/apache/arrow)**
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* **[Dask s3fs](https://github.com/dask/s3fs)**
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* **[Pg8000](https://github.com/tlocke/pg8000)**
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* **[Apache Spark](https://github.com/apache/spark)**
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* **[Tenacity](https://github.com/jd/tenacity)**
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## Known Limitations
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* By now only writes in Parquet and CSV file formats
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* By now there are not compression support
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* By now there are not nested type support
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## Contributing
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For almost all features we need rely on AWS Services that didn't have mock tools in the community yet (AWS Glue, AWS Athena). So we are focusing on integration (end-to-end) tests instead unit tests.
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## License
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This library is licensed under the Apache 2.0 License.

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