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            "Development Status :: 3 - Alpha",
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            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Database :: Database Engines/Servers"
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        "description": "# S3ToRedshift\nConnector to upload csv/csv gzip files from S3 bucket into Redshift table.\n\n\n## Requirements\n\n* Python 3+ (Tested in 3.7)\n* pandas>=0.25.0\n* GiantPandas>=0.1.6\n* S3Connector>=0.1.5\n\n\n## Install with pip\n```bash\n$ pip install S3ToRedshift\n```\n\n## Usage\n1. Import the library.\n    ```python\n    from S3ToRedshift import S3ToRedshift\n    ```\n\n2. Create an instance by defining aws access credentials, redshift credentials and region name. These parameters might not be needed, depending on the machine's access rights.\n    ```python\n    s3_to_redshift = S3ToRedshift(\n        aws_access_key_id='##########',\n        aws_secret_access_key='##########',\n        region_name='##########',\n        host='##########',\n        user='##########',\n        password='##########',\n        dbname='##########',\n        port='##########',\n        iam_role='##########'\n    )\n    ```\n\n3. The imported module has several functions. Please refer to respective help for more information.\n    1. ```s3_to_redshift.upload_csv(schema_name, table_name, bucket_name, object_name, file_type, if_exists, csv_sep, csv_null_identifier)```\n \n**© [Samyak Ratna Tamrakar](https://www.linkedin.com/in/srtamrakar/)**, 2019.",
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