Even though I've clearly stated at the beginning of this book that Python has emerged as a clear leader in the field of data science, it is still only marginally used by the developer community where traditional languages, such as Node.js, are still preferred. Recognizing that, for some developers, learning a new language, such as Python, is a cost of entry to data science that may be too high, I partnered with my IBM colleague, Glynn Bird, to build an extension library to PixieDust called pixiedust_node (https://github.com/pixiedust/pixiedust_node) that would let developers run Node.js/JavaScript code inside cells in a Python Notebook. The goal of this library is to ease developers into the Python world by allowing them to reuse their favourite Node.js libraries, for example, to load and process data from existing data sources.
To install the pixiedust_node library, simply run the following command in its own cell:
!pip install pixiedust_node