[VSCODE] 14 VS Code Extensions Every Data Engineer Should Swear By for Maximum Productivity
1. Jupyter (85M+ downloads)
For Interactive Notebooks and Data Exploration
If you’re working with Python and data science, chances are you’ve used Jupyter notebooks. Well, this extension brings Jupyter functionality directly into VS Code. Whether you’re exploring datasets, running Python scripts, or testing ETL pipelines, this extension allows you to work in an interactive, notebook-style environment without leaving your code editor. It’s perfect for ad-hoc analysis, experimenting with new ideas, and visualizing your data right within your development setup.
8. Pylance (118M+ downloads)
For Python IntelliSense and Type Checking
Python is the lingua franca of data engineering, and Pylance supercharges your coding experience with advanced IntelliSense features. It provides type-checking, better autocompletion, and more accurate suggestions, all of which help you write cleaner, more efficient Python code. As a data engineer, you’re likely juggling multiple libraries, so having robust type information can prevent bugs and improve your productivity.
Get extension here
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