Module 2: Intermediate Python

In the last module we covered:

• using the Python interpreter, open by typing python

• working in Jupyter Notebooks

• arithmetic operations: + - * / ** // %.

• conditionals: if(expression), elif, else

• loops: while, for

• lists, tuples and dictionaries

• functions

In Module 2, we will explore using the NumPy and Matplotlib packages.

NumPy is a Python package that provides more functionality than the vanilla Python. Matplotlib is a Python package for plotting and data visualization. These two packages are the foundation of scientific computing in Python.

So, why do we need NumPy? Let’s take a look at an example in the video below.

Once you have watched the video, you can launch your own blank jupyter notebook and follow along.

Let’s get started!