description JupyterLab Overview
JupyterLab is an interactive development environment that combines code editing, computational notebooks, and a terminal into a single application, facilitating data science workflows through its flexible interface and support for various programming languages and tools.
help JupyterLab FAQ
What is JupyterLab used for?
JupyterLab combines notebooks, code editing, data files, and a terminal in one browser-based development environment. It is commonly used for data science, experimentation, visualization, and reproducible analysis.
Which programming languages can run in JupyterLab?
JupyterLab can run Python through IPython and can also support languages such as R and Julia through their kernels. The available languages depend on which kernels are installed in the environment.
How are notebooks different from ordinary code files in JupyterLab?
A notebook combines executable code cells with text, equations, output, and visualizations. This makes it useful for documenting a data analysis while running it interactively rather than keeping code and explanation in separate files.
Does JupyterLab include a terminal?
Yes, JupyterLab includes a terminal panel alongside notebooks and editors. That lets users install packages, inspect files, and run command-line tools without leaving the application.
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