Sooner or later you will probably use python in one of your projects. Either for data science or scripting.

Python is a very easy language to learn. It is very versatile, and non prescriptive. This is its strength, but unfortunately makes it incredibly easy to fall into pitfalls of writing code and structuring projects in a way that is both hard to read, maintain, and test.

As a C# developer it is also very tempting to write code in a C# style, not using all the goodness python has to offer, and writing code that is less performant and uses more resources than good python code.

This session is a journey through things I have learned over the last few years, writing production code in python, so that you don’t have to re-live my mistakes.