When working on different projects in Python it is essential to separate the different versions of Python packages so not to interfere with each other. This is where virtual environments comes in. They are isolated environments that can contain different […]
Exposing Python machine learning models using Flask, Docker and Azure
After spending much time on training and perfecting your Python machine learning models you want to be able to use them for predictions. In the spirit of modularity you just want to create a simple API that takes the inputs […]