Summary
In this chapter, we learned about Optimus's basic capabilities and which of the available engines is the most suitable, based on the infrastructure you're using. You also learned why it is beneficial to use Optimus instead of a vanilla DataFrame and what features separate Optimus from the DataFrame technology that's available. Then, we learned how to install Optimus on Windows, macOS, and Linux, both on the cloud and with external services such as Coiled.
Finally, we took a deep dive into the internals of Optimus so that you have a better understanding of how it works and how it allows you to get creative and take full advantage of Optimus.
In the next chapter, we will learn how to load and save data from files, databases, and remote locations such as Amazon S3.
