JupyterLab desktop app is now available: a data science tool that bundles a Python environment with Python libraries
The JupyterLab app is an independent, cross-platform program developers can use in data science workflows, such as those found in scientific computing. The latest addition to the revolution in scientific computing and data science, this desktop app bundles a Python environment with several popular libraries ready to use in your work. You can now download the JupyterLab installer for Linux, macOS, and Windows from the GitHub page.
JupyterLab is a browser-based application that uses the open source Electron framework. It runs on it, providing access to Jupyter Lab front-end code and libraries to run Python programs in an embedded environment via conda – including numpy, scipy, pandas ipygidets, matplotlib among others.
The JupyterLab app has been updated with many new features. The most notable updates are a modernized user interface and faster performance.