Comments (4)
Maybe it would be nice to package the extension for conda as well, so we could use the jupyterlite-xeus-python
kernel.
from jupyterlab-blockly.
@hbcarlos @wolfv do you already have ReadTheDocs set up for this project?
Otherwise do you want to add it, and then enable the "Build pull requests for this project"?
So we can start using jupyterlite-sphinx
.
from jupyterlab-blockly.
Thanks, @jtpio. We are setting it up here #35
from jupyterlab-blockly.
The documentation is set up here: https://jupyterlab-blockly.readthedocs.io/en/latest/
The conda packaging for the extension allows it to be installed using conda install -c conda-forge jupyterlab-blockly
And JupyterLite was set up - embedded in the index page of the readmedocs
or easily accessible from https://jupyterlab-blockly.readthedocs.io/en/latest/lite/lab/index.html?path=example.jpblockly
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Related Issues (20)
- Export and execute the code HOT 3
- Kernel controls HOT 1
- Separate extension for Niryo HOT 1
- Blockly editor linked to JSON files
- Initialize blockly with default blocks HOT 3
- Make matplotlib blocks HOT 1
- Make it possible to create blocks from Python? HOT 1
- Support the light and dark theme HOT 2
- Make blocks for Arduino
- Make OpenCV blocks
- Make ipycanvas blocks
- Cannot switch kernel (at least in the case of JupyterLite) HOT 3
- Use lumino split panel to separate the editor and the output
- Error when importing the `IBlocklyRegistry` token HOT 4
- JupyterLite Demo does not work HOT 1
- ROS extension HOT 1
- Blocky language HOT 3
- jupyterlab blockly language is not English blocks HOT 2
- General Documentation
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