Using Jupyter, with an intro to machine learning

This month, Kai Lukowiak will be giving a talk that explores the installation and usage of Jupyter Notebooks.

Notebooks have become popular recently as an alternative to purely text-based programming applications. This growth has been driven by data scientists looking for a way to integrate code and analysis to tell a comprehensive story. This is commonly referred to as literate programming. This talk will discuss the strengths and weaknesses of using notebooks, why they are so popular in the education and data science fields and how non-data science developers can still benefit from their use.

Kai will also implement a simple data science and machine learning workflow to demonstrate the usage of notebooks. Finally, there will be a discussion of some alternatives to notebooks that offer more robust coding options in plain text format.