Building a powerful data science IDE for R, Python, and SQL using JupyterLab


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JupyterLab provides a robust foundation for building flexible computational environments. The speaker explains how R-Brain leveraged the JupyterLab extension architecture to build a powerful IDE for data scientists, one of the few tools in the market that evenly supports R and Python in data science and includes features such as IntelliSense, debugging, and environment and data view.

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