Jupyter vs Visual Studio Code

The notebook that made data scientists feel like artists, until they tried to version control it meets the code editor that ate the world, and somehow made us all love it. Here's our take.

Jupyter

Nice Pick

The notebook that made data scientists feel like artists, until they tried to version control it.

Pros

• Interactive notebooks perfect for exploratory data analysis and teaching
• Supports over 40 languages, making it versatile for multi-language projects
• Rich output with live code, visualizations, and markdown in one document

Cons

• Notoriously messy for version control and collaboration due to JSON-based files
• Can become sluggish with large datasets or complex visualizations

Visual Studio Code

The code editor that ate the world, and somehow made us all love it.

Pros

• Lightning-fast startup and performance, even with extensions
• Built-in Git integration that actually works without headaches
• Extension marketplace so vast it has a plugin for your toaster

Cons

• Memory hog when you load too many extensions (we all do it)
• Microsoft's telemetry is always watching, even if you turn it off

The Verdict

Use Jupyter if: You want interactive notebooks perfect for exploratory data analysis and teaching and can live with notoriously messy for version control and collaboration due to json-based files.

Use Visual Studio Code if: You prioritize lightning-fast startup and performance, even with extensions over what Jupyter offers.

The Bottom Line

Jupyter wins

The notebook that made data scientists feel like artists, until they tried to version control it.