Summary
Over the course of this chapter, we reviewed a number of ways to deploy our application to end users in the cloud. First, we explored the use of AWS Lightsail, which allowed us to deploy our code in the form of an online web application using a Docker container. Next, we explored the use of GCP's App Engine to deploy our code, once again in the form of an online web application, using its user-friendly and abstract methodologies. Finally, we deployed our code in the form of a repository to GitHub, allowing us to expose the content to users, professionals, and tentative employers alike.
Congratulations! With this last tutorial now complete, we have come to the end of this book. Looking back at the last 12 chapters, we have covered many different topics in a diverse set of areas. In the beginning, we learned some new languages such as Python and Structured Query Language (SQL) and used them to analyze and visualize our data. We then explored some of the most common ML...
