In this episode, we will look at a date range of data and build predictions of what future values will be. However, we won't be reaching for any 3rd party APIs, but instead use statistical models to learn from our data to predict the future dates. We'll also display out our data on a table and plot it to a graph.
I use Docker every day and it has make my development workflow much simpler. I don't have to deal with conflicts or issues with macOS since everything is containerized. Before, I would fight my host operating system with mismatched dependencies and configuration problems, but using Docker during my development workflow has simplified things. In this episode, we'll run through how I use Docker on Rails applications and some of the tricks I use to solve the nuances of this approach.
Managing email styling and formats can be a large task so having a templating framework in place to help manage these will not only help them be consistent, but also easier to maintain as time goes on. In this episode, we'll look at implementing MJML as well as solving some common problems.
Are you searching for an efficient way to implement academic discounts on your web application? In this episode, we'll explore a subtle yet effective method for verifying academic email addresses, while also providing override options to ensure your organization retains full control.
In this episode, we'll dive into ActiveSupport::Notifications to perform simple metrics. We'll then use this technique to troubleshoot and pinpoint where slow running lines of code are. It can be a great debugging technique when trying to deal with slow requests or functions.