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We have upgraded our JupyterLab Blockly extensions for Python and R to JupyterLab 4.x
Thes JupyterLab extensions add Blockly support to JupyterLab. Blockly is a visual programming language primarily designed to teach coding. JupyterLab is a computational notebook environment widely used in data science as well as many scientific fields.
These extensions also add intelliblocks. Intelliblocks are Blockly blocks that self-configure based on loaded libraries. This means you can load a library and immediately access everything in it using Blockly. Intelliblocks essentially automatically author Blockly blocks, which otherwise would need to be manually defined.