Tutorial: how to parallelize your python code and run it on Google Cloud

This tutorial shows you how to take your python code, parallelize it (using the multiprocessing package) and run it on Google Cloud. This tutorial uses a Microsoft Windows operating system. It’s very relevant if you would like to parallelize a code for hyperparameter tuning, optimization, or Monte Carlo simulation. Tutorial parts: 1. Create a Google Cloud compute instance 2. Transfer your files to the cloud 3. Run your parallelized script and analyze the results 4. Return your results to your local compute