Declutter Your Jupyter Notebook Using Interactive Controls

A lesser-known and underrated way to boost your data analysis.

While using Jupyter, one often finds themselves in situations where they repeatedly modify a cell and re-rerun it.

This makes data exploration:

• irreproducible,

• tedious, and

• unorganized.

What’s more, the notebook also gets messy and cluttered.

Instead, leverage interactive controls using IPywidgets.

A single decorator (@interact) allows you to add:

• sliders

• dropdowns

• text fields, and more.

As a result, you can:

• explore your data interactively

• speed-up data exploration

• avoid repetitive cell modifications and executions

• organize your data analysis.

A quick demo is shown below:

Interactive controls demo

👉 Over to you: What are some other ways to elegantly explore data in Jupyter that you are aware of?

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Find the code for my tips here: GitHub.

I like to explore, experiment and write about data science concepts and tools. You can read my articles on Medium. Also, you can connect with me on LinkedIn and Twitter.