development

Have you received a project that someone else created and did it make you go 🤯? (Was that someone else: you from a few months back?1 ) Sometimes a project organically grows into a mess of scripts and you don’t know how to make it better. The main problem is often the project organization. I want you to think about, and organize, your project in three levels that I call city-level, neighborhood-level and street-level. [Read More]

How do you get your training data into your model? Most tutorials and kaggle notebooks begin with reading of csv data, but in this post I hope I can convince you to do better. I think you should spend as much time as possible in the feature engineering and modelling part of your ML project, and as little time as possible on getting the data from somewhere to your machine. [Read More]

This is a post for people who only work alone or wonder why on earth you would use all those fancy tools like linting, unit-tests, and fancy editors. I hear you, why would I use all those extra steps? That sounds like busywork you do instead of actual work! I think you just don’t haven’t experienced development work like I have, and I would like to share how my work feels and looked like in the past few years. [Read More]