Part 1 Continued - Saving to mongodb

I decided to build an online course aggregator and introduced the project in this post, and last week I started part 1 explaining the backend and creating the first provider class for coursera. This post I will dive into the storage engines, initially I created two storage engines; mongodb and postgres using sql alchemy.

Part 1 - Creating a python based backend

I decided to build an online course aggregator and introduced the project in this post. This post is part 1 of the series and I will break down how I build the backend aggregation framework. The whole point of this project is to build a full stack application as both a learning exercise and an in-depth blogging topic.

MOOCs are Massive Open Online Courses, and I have had the time to take a few of them. These courses have probably been the best college courses I have taken of any kind, in terms of how much I learned and have been able to apply to my day to day work. This makes sense as I have been able to pick courses that interest me or apply specifically to my job versus my normal course work where the college decides what I need. The other reason they have been great is because they are provided by some of the best universities or professors in that topic.

My VPS service from myhosting.com is up for renewal, and honestly it isn't worth the money anymore. I only use it for my blog, and it has been a year since I have posted anything. I also used to host other websites and my private github repos, but now I have a paid github account and no longer host those websites. I can also spin up an Amazon server if I need to play with around with the cloud. Github will host static html sites for free and allows for custom domains. The problem is a blog is dynamic, but that is where Jekyll comes in.