Just recently, I got to work with Serverless on AWS Lambda. It's a great technology, and I love the idea not to manage and provision underlying servers. I do much programming in Python, and luckily AWS Lambda comes with a Python Runtime. The Serverless Framework is an excellent way to start; that's what I thought… Here is my story with Serverless Development in AWS Lambda and Python and some of my pain. Probably, you have heard the term Serverless which is a technology where you don't care about managing servers and its underlying infrastructure.

If you are not familiar with the PyCaret library, which was designed for low-code machine learning. I highly recommend checking the Moez Ali articles, who is the main creator of this great framework. Let's assume that we would like to download data and create a simple dashboard for Exploratory Data Analysis. Now, we can analyze basic information about the data and decide which is worth using later in the experiment. We can conclude that many of the variables are useless. All, after all, a typical user doesn't have number of reviews orreviews_per_month .