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@@ -84,7 +84,7 @@ You can choose from three different environments to test your fixes/changes, bas
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### Mocked test environment
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* Pick up a Linux or MacOS.
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* Install Python 3.6, 3.7 or 3.8
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* Install Python 3.7, 3.8 or 3.9
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* Fork the AWS Data Wrangler repository and clone that into your development environment
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* Go to the project's directory create a Python's virtual environment for the project
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**DISCLAIMER**: Make sure you know what you are doing. These steps will charge some services on your AWS account and require a minimum security skill to keep your environment safe.
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* Pick up a Linux or MacOS.
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* Install Python 3.6, 3.7 or 3.8
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* Install Python 3.7, 3.8 or 3.9
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* Fork the AWS Data Wrangler repository and clone that into your development environment
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* Go to the project's directory create a Python's virtual environment for the project
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**DISCLAIMER**: This environment contains Aurora MySQL, Aurora PostgreSQL and Redshift (single-node) clusters which will incur cost while running.
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* Pick up a Linux or MacOS.
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* Install Python 3.6, 3.7 and 3.8
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* Install Python 3.7, 3.8 or 3.9
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* Fork the AWS Data Wrangler repository and clone that into your development environment
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* Go to the project's directory create a Python's virtual environment for the project
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## Common Errors
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Check the file below to check the common errors and solutions
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Check the file below to check the common errors and solutions
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