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Why Jupyter Notebooks Aren’t All That Bad!

And how you can supercharge them.

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Over the last few years, I have noticed it has become increasingly popular to dislike Jupyter Notebooks with many people stating you should switch from Jupyter to scripts (here, here, here, here, etc.).

Indeed, there are some disadvantages to using Jupyter Notebooks, but that does not mean you should ignore the trove of advantages that could help you become a more efficient Data Scientist!

Jupyter Notebooks can complement your workflow

Like with most tools it is a matter of using the tool for its intended purposes. Sure, there are hacky ways that make it possible to use Jupyter Notebooks in production but its true potential shine in different areas.

I would argue that you should not switch to scripts but use Jupyter Notebooks as they are, a tool to use alongside scripts.

Using Jupyter Notebooks alongside scrips allows for synergy

In this article, I will go through several reasons why Jupyter Notebooks are not as bad as some might think. Here, I will be focusing on its advantages, use cases, and potential role in your tech stack.

1. They are great for exploration

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TDS Archive
TDS Archive

Published in TDS Archive

An archive of data science, data analytics, data engineering, machine learning, and artificial intelligence writing from the former Towards Data Science Medium publication.

Maarten Grootendorst
Maarten Grootendorst

Written by Maarten Grootendorst

Data Scientist | Psychologist. Passionate about anything AI-related! Get in touch: www.linkedin.com/in/mgrootendorst/

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