Stoltzmaniac Fans – It’s time for a #100DaysOfCode update.
I have completed 11 days of the challenge. Let me tell you, it has been a blast and I have already learned a lot. In this post I’ll walk you through what I’ve done thus far. Here is a link to the code on my GitHub repository.
As you may recall from my previous post I set out to create a flask application to host data science projects for the Meetup group that I organize (Fort Collins Data Science Meetup). My goal is to provide people with an outlet to run code online where they will get the benefits of having a server and a dynamic UI. This will improve the group’s collaboration and Git skills along with allowing people to showcase their work without having to build infrastructure. In case you’re wondering, I built this using Docker Compose, Flask, NGINX, PostgreSQL, and MongoDB.
In order to keep from boring myself to sleep while writing this, I’m going to keep it short and to the point. You might be asking, “what does this application look like?” That’s a great question. It’s a normal website where people contribute Python scripts to do some sort of data processing or analysis. For example, here’s a word cloud generator where the user inserts a Twitter handle with a link to a logo of some sort and then a word cloud is created from all of the most recent tweets! Here is @realdonaldtrump as the Republican elephant and @barackobama as the Democrat donkey.