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README
MIT

logseq-jupyter

Run code from logseq in Jupyter Kernels

This is experimental.

Installation

# clone repo
git clone https://github.com/aarimond/logseq-jupyter.git

# or
git clone git@github.com:aarimond/logseq-jupyter.git

cd logseq-jupyter

# requires Node and npm to be installed
npm install
npm run build

Then in logseq

  • open Plugins
  • open Load unpacked plugin
  • select logseq-jupyter folder

Usage

  • Annotate the block with a jupyter property which contains the URL, including the token
  • The jupyter command will starting a python kernel, execute the code within the code snippet, retrieve the output, and shut down the kernel again.

GIF

MIT License Copyright (c) 2022 AA Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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