Jupyter Notebooks

Create a new Python 3 notebook:

And click to rename it to your name:

Each cell can contain some Python code. Press shift-Enter to run the cell.

If the last thing is an expression, the result will be displayed.

Jupyter Notebooks are a great way to interact and experiment with Python code.

If you have used Matlab, Maple, R-Studio, or most stats packages, then it's the same concept.

Be careful of executing things out of order: what the notebook looks like and what happened might not match.

You can always click Kernel → Restart & Run All to reset things.

The environment for today has all of the packages we need. In case you want to follow along later, I did this:

apt install python3-pip
pip3 install notebook scipy matplotlib pandas statsmodels \
    scikit-learn scikit-image numexpr