Once you have all the required libraries installed, you can either start a Notebook with the following command or by using the Anaconda interface:
$ jupyter notebook
You will have an open page in your browser at this address (the port might be different): http://localhost:8888/. Go to that page and create a new Notebook using the menu. When you feel comfortable with it, you're ready to go. I strongly encourage you to try and get a Jupyter environment running, before you proceed reading on. It is an excellent exercise sometimes to have to deal with difficult dependencies.
Our project will take place in a Notebook, therefore I will tag each code snippet with the cell number it belongs to, so that you can easily reproduce the code and follow along.
Let's now move on and talk about the most interesting part of this chapter: data.