"The measure of intelligence is the ability to change." - Albert Einstein
Hello data delvers! In part three of this series we refactored our application into three separate layers, allowing us to better separate concerns within our codebase. However, if we examine certain parts of our code we can still observe some brittleness:
"Good tools make good work." - Unknown
Greetings data delvers! The sharper-eyed among you may have noticed that the website looks a little bit different now. No you aren't seeing things. I recently completely changed the backend of the site from Jekyll to Material for MkDocs. The process was overall pretty smooth but had some hiccups which I think are worth documenting. However, before we get into that, why the change in the first place?
"For every minute spent organizing, an hour is earned." - Benjamin Franklin
Hello data delvers! In part two of this series we refactored to create a separate data layer of our application. As a refresher, these are the three layers of the application we are creating:
"Data is not just the new oil, it's also the new soil." - David McCandless
Hello data delvers! In part one of this series we left off creating a basic application that allowed us to search for a work by title in the Metropolitan Museum of Art's collection. We were able set up a basic project structure as well as the tooling we would need to get the project off the ground. In this second part, I'd like to focus on how we can reorganize our code to make it a bit easier to manage as the complexity of our application scales. However, to begin I'd like to take a slight detour and discussing debugging.
"The beginning is the most important part of the work." - Plato
Hello data delvers! Happy New Year! I hope you all have been well! It's been some time since our last delve (sorry!) but I want to kick off 2025 with a new series of delves I've been wanting to do for some time, building out an ML application using modern microservices principles.
In this multi-part series we'll focus on the tools, techniques, and strategies I use to bring ML applications to life in a maintainable, scalable, and extendable way. If that sounds of interest to you, put on your delving gear and join me as we go deep into the depths of the labyrinth!