A JupyterLab extension implementing a Blockly palette for the Python language. For data science training materials using this extension, see here. For an R extension with the same Blockly ...

Note: You will need NodeJS to build the extension package. You can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source ...

JupyterLab is a browser-based application that uses the open source framework Electron. It runs on top of it, providing access to Jupyter Lab’s front end code and libraries for executing Python ...

Similarly, a virtual Python environment that was created with either virtualenv or venv can be accessed in JupyterLab via a kernel. Create a Conda virtual environment and install the kernel ¶ These ...

JupyterLab is an open-source web application, described as “the cross-platform standalone application distribution of JupyterLab. “It is a self-contained desktop application that includes a Python ...