Building data products at home – Self-learning Hue Lights

Today’s smart devices come with full fledged API’s driving the proliferation of micro-services as apps. Philips Hue lights are no exception. With the coming of age of open source libraries for data science, building data products at home has become easier than ever. Not only can we automate away repetitive task , we also get to experiment freely in the tools we use; a comfortable way to learn new tricks.

In this session, I will talk about how I built a small system to control my Philips Hue lights at home, and what I have learned in the process. The emphasis will be on deploying a working solution with as minimal coding as possible. The brains of the project is written in R, while more general programming tasks such as interfacing with API’s and workflow management are done in Python.

Szilágyi Tamás
Senior Data Analyst, ING

Tamas is a passionate R user, currently working at ING Investments in Amsterdam as a Senior Data Analyst. Born in Hungary, he did his studies in Belgium and Scotland, and worked in Canada before moving to the Netherlands. He has over 5 years of experience in various analytical roles and taught himself to program “on the job”. He is a strong advocate of open-source tools and writes regularly about his hobby data projects on his blog.