One of the strengths of the Python language is the availability of mature, high- quality libraries for working with scientific data. Integration between the most
popular libraries has lead to the concept of a "scientific Python stack": a collection of packages which are designed to work well together. In this workshop we will see how to leverage these
libraries to efficiently work with and visualize large volumes of data.