As I switch back and forth between R and Python projects for various clients and partners, I got to thinking: “is there an easy way to separate code from presentations in Jupyter notebooks?”
The answer turns is yes. Jupyter itself exposes a rich application programming interface in Python. So it is very easy to organize Jupyter’s power into tools that give me a great data science and analysis workflow in Python.
Read on to see how.