If you have been using Jupyter (aka IPython) notebook for your work in Python, then you’re in good company; many developers (including me) now use it instead of the text-based interactive Python shell. Just using Jupyter has dramatically improved my productivity. However, it turns out that Jupyter, like many open-source projects, is highly customizable. In this talk, Matthias Bussonnier, Jonathan Frederic, and Thomas Kluyver show us how we can customize and change Jupyter Notebook, to make it a custom environment, special for our needs.