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JUPYTERLAB
Next-gen interactive development environment for data science
BSD-3-Clause
ABOUT
Traditional Jupyter Notebooks lack the flexibility and extensibility needed for complex development workflows, forcing users to switch between multiple tools. JupyterLab solves this by providing a modular IDE-like interface that combines notebooks, code editors, terminals, file browsers, and data viewers in a single extensible workspace.
INSTALL
pip install jupyterlabINTEGRATION GUIDE
1. Developing data science projects with integrated notebook editing, code debugging, and file management
2. Building custom Jupyter extensions and plugins for specialized scientific computing workflows
3. Collaborating on interactive analyses with real-time code execution and shared notebook environments
TAGS
idedata-sciencenotebookpythondevelopmentinteractive-computingvisualizationextensible