jupyter-lab

Start JupyterLab

$ jupyter lab

$ jupyter lab [path/to/notebook.ipynb]

$ jupyter lab --notebook-dir [path/to/directory]

$ jupyter lab --debug

jupyter-lab [options] [path]

--ip=
    The IP address the JupyterLab server will listen on.

--port=
    The port the JupyterLab server will listen on. Defaults to 8888.

--no-browser
    Prevent JupyterLab from opening in a browser after starting.

--config-dir=
    The directory to look for JupyterLab configuration files.

--notebook-dir=
    The directory to use as the root for Jupyter notebooks.

--allow-root
    Allow JupyterLab to be run from root user

[path]
    Optional path to a notebook file or directory to open on startup.

--token=
    Manually specify a token

--certfile=
    The full path to a certfile for https access

--keyfile=
    The full path to a keyfile for https access

The `jupyter-lab` command launches the JupyterLab application, a web-based interactive development environment for notebooks, code, and data. It provides a flexible interface for working with Jupyter notebooks, Python code, and other files. JupyterLab extends the classic Jupyter Notebook with features like a file browser, text editor, terminal access, and support for multiple notebooks and consoles within a single window.

Users can use this tool for data analysis, machine learning, scientific computing, and education, among many other things. It's a powerful tool to explore your data interactively or use it to develop python based applications that can be shipped on web or desktop environments. The tool provides a very rich set of extensions to easily connect it to services like git or cloud based storage.

Upon execution, `jupyter-lab` starts a local server and opens the JupyterLab interface in your default web browser. You can specify options to control the server's behavior, such as the port it listens on, the directory it serves files from, and whether to require authentication.

When running JupyterLab on a remote server, it is strongly recommended to use HTTPS and configure appropriate authentication mechanisms (e.g., password or token) to protect your data and prevent unauthorized access. Use `--certfile` and `--keyfile` parameters to setup the secure connection.

JupyterLab's functionality can be greatly extended through the use of extensions. Extensions can add new file types, editors, themes, and more. You can find and install extensions using the JupyterLab extension manager or the `jupyter labextension` command.

If you encounter issues starting JupyterLab, check the server logs for error messages. Common problems include port conflicts, missing dependencies, and misconfigured settings. Make sure you have a working Python installation before you try to run this command.
If jupyter not found, make sure the installation directory is in the PATH environment variable.

JupyterLab is the next-generation user interface for Project Jupyter, superseding the classic Jupyter Notebook. It was designed to provide a more modular and extensible environment for interactive computing. Development began in 2016, with a focus on creating a more feature-rich and customizable experience for users. JupyterLab aims to be a comprehensive environment for data science, scientific computing, and education.

jupyter-notebook(1), python(1)