Python Virtual Environment Management

[bleach]

Hello,

I would like to suggest the ability to manage our virtual environment for Python modules within Alteryx. Some current workflows I am building would be far easier and more secure if I had access to the virtual environment that the Python code would run in.

Uses for modifying the virtual environment:

     1) Setting environment variables in order to hide API Keys/DB credentials/etc.

     2) Installing private GitHub repository packages into the environment.

     3) Creating repeatable and easily maintainable ways to manage dependencies. 

It would be important that these virtual environments have a way to persist onto Alteryx Gallery, so that workflows behave identically on local machines as they would on the server. This could potentially be done though a requirements.txt file or some other environment initializer, but I'll leave the implementation to the experts. My preference would be for each workflow to contain their own virtual environment (as is best practice when developing Python scripts). 

Thank you,