Working with Jupyter notebooks

Jupyter notebooks are another core tool that every data scientist needs to know. In Jupyter notebooks, you can easily get small blocks of code working and also share what you are doing with others. It is a very common way to present the technical implementation of code.

The summary from the official source (https://bit.ly/3NqwksY) does a great job of describing what a Jupyter notebook is:

The Jupyter notebook is an open source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text. Uses include data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.

While it's not the best tool for creating larger and more scalable software applications, it's a fantastic choice when learning a new library, working on smaller subsections of a code base to test things out, and in general anything that...