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| **PyPi** | [![PyPI Downloads](https://pepy.tech/badge/awswrangler)](https://pypi.org/project/awswrangler/) | [Link](https://pypi.org/project/awswrangler/) | `pip install awswrangler` |
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| **Conda** | [![Conda Downloads](https://img.shields.io/conda/dn/conda-forge/awswrangler.svg)](https://anaconda.org/conda-forge/awswrangler) | [Link](https://anaconda.org/conda-forge/awswrangler) | `conda install -c conda-forge awswrangler` |
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## Table of contents
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- [Quick Start](#quick-start)
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- [Read The Docs](#read-the-docs)
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- [Who uses AWS Data Wrangler?](#who-uses-aws-data-wrangler)
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## Quick Start
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Installation command: `pip install awswrangler`
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- [**License**](https://github.com/awslabs/aws-data-wrangler/blob/master/LICENSE)
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- [**Contributing**](https://github.com/awslabs/aws-data-wrangler/blob/master/CONTRIBUTING.md)
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- [**Legacy Docs** (pre-1.0.0)](https://aws-data-wrangler.readthedocs.io/en/legacy/)
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## Who uses AWS Data Wrangler?
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Knowing which companies are using this library is important to help prioritize the project internally.
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Please send a PR with your company name and @githubhandle if you may.
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1. [Digio](https://www.digio.com.br/) [[@afonsomy](https://github.com/afonsomy)]

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