INSTRUMENTING PYTHON CODE TO IMPROVE THE DEVELOPMENT PROCESS

Python is one of the most popular programming languages today. This is mainly thanks to its dynamic character, allowing fast development times and short feedback loops while building prototypes. However, the dynamic nature of Python becomes a disadvantage when deploying it in production, making it hard to catch errors ahead of time. Thankfully, the Python developers have implemented various tools to help with this. We will examine the state of the art in Python tooling, as well as propose a new debugging library that developers could use to examine the state within any Python function.