I recently aimed to create a GraphQL API for a Mongo database, allowing users to query and modify collections, documents, and fields. Before starting, I needed an environment to simulate this process. This article discusses creating a test bed for this purpose. Continue reading →

A common practice in any coding is to get a time stamp for the start and stop of a process, and probably calc the elapsed time since it started (ya know, because that means we don’t have to mentally calc it ourselves the zillion times the code will run!). The following is usually an example... Continue reading →

Here are summaries of each of the tools you’ve mentioned along with examples of how to implement the ETL (Extract, Transform, Load) process using each tool within a Python workflow: Continue reading →

Previously I’ve gone through the steps I take to get a solid development machine setup. From the base operating system load, to the browser and basic IDEs I install. Now I’ve got more videos and the respective notes and details about what two language stacks I setup next; Python and Go. Continue reading →

I’ve worked with Python almost entirely from the maintenance programmer perspective. That is, I take other code written already, make edits, add features, and then redeploy it. I’ve created exactly zero greenfield applications in Python. That changes today however, with the creation of the didactic-engine-flask app! I’m creating this app with the purpose of covering... Continue reading →