Naive Conda environment creation for an Aqueduct function

conda-naive.sh

# Create a Conda environment my_workflow_env with Python 3.9.
# This step takes 16 seconds.
conda create -n my_workflow_env python==3.9

# Install aqueduct-ml and scikit-learn in this environment; Aqueduct is 
# required in order to orchestrate the execution of Python functions. 
# This is just an example but would likely include other library 
# dependencies depending on the use case in question.
# Installing aqueduct-ml takes 42 seconds.
# Installing scikit-learn takes another 4 seconds.
conda run -n my_workflow_env pip install aqueduct-ml scikit-learn

# Run the appropriate function in the new environment.
# Switching to the new environment takes 0.8 seconds.
conda run -n my_workflow_env python main.py