Jupyter Notebook vs JupyterLab
Jupyter Notebook and JupyterLab are both interactive computing environments that enable users to work with code, data, and multimedia content within a web-based interface. While Jupyter Notebook has been the go-to choice for many data scientists and researchers, JupyterLab offers an enhanced, modern interface with additional features and capabilities.
- Jupyter Notebook is the original web-based platform for creating and sharing live code, equations, visualizations, and narrative text in a notebook format.
- It offers a simple, linear interface where each notebook consists of a sequence of cells containing code or markdown text.
- Users can execute code cells and display the output (e.g., plots, tables) directly below the corresponding cell.
- Jupyter Notebook supports a wide range of programming languages through the use of kernels, including Python, R, and Julia.
- JupyterLab is the next-generation interface for Project Jupyter, offering a more advanced and extensible environment for working with Jupyter notebooks and other file types.
- It features a modular, customizable interface that allows users to arrange multiple notebooks, text files, and other components in a flexible layout using panels and tabs.
- JupyterLab supports real-time collaboration, enabling multiple users to work together on the same notebook simultaneously.
- In addition to Jupyter notebooks, JupyterLab also provides built-in support for other file formats, such as CSV, JSON, and Markdown, as well as integrated terminals and code consoles.
- JupyterLab is designed to be extensible, allowing users to install additional extensions and customize the environment to better suit their needs.
Comparison between Jupyter Notebook and JupyterLab
- Interface: JupyterLab offers a more modern, versatile interface, with support for multiple panels and tabs, enabling users to work with multiple notebooks and files simultaneously.
- File support: JupyterLab provides built-in support for a wider range of file formats and includes integrated terminals and code consoles.
- Collaboration: JupyterLab supports real-time collaboration, allowing multiple users to work together on the same notebook or document.
- Extensibility: JupyterLab is designed to be extensible, enabling users to install additional extensions and customize the environment to meet their specific needs.
- Compatibility: JupyterLab is compatible with existing Jupyter Notebook files and kernels, allowing users to transition smoothly between the two interfaces.
Resources on Jupyter Notebook and JupyterLab
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