NumPy

NumPy is the foundational package for numerical computing in python.

In essence it brings the computational power of underlying C and Fortran libraries to python and makes them accessible in a high productivity setting.

NumPy also defines the standard interfaces for array based programming across the ecosystem.

We will work through the following numpy notebook.

Local Option

You can download the notebook from here

Then browse to your download location and load the notebook with jupyter:

cd ~/Downloads
jupyter notebook intro-to-numpy.ipynb

Cloud Based Option

You can launch the notebook

Tip

The NumPy library is used extensively across the quantecon lecture series and is used to cover topics such as:

  1. Linear Algebra