Control JupyterLab from Python Notebooks
Reason this release was yanked:
functionality not ready
Project description
📚 Algovera Library
The Algovera Library currently comprises of a Jupyter Lab extension for using MetaMask within Jupyter Lab to interact with the Ocean market.
Algovera
Algovera is a community of individuals working to facilitate and accelerate the development of decentralised AI products and research.
Website | Notion | Discord | Calendar | Twitter | YouTube
🏗 Setup
To start using the library, simply run these three commands in your terminal:
conda create -n algolab -c conda-forge jupyterlab
conda activate algolab
pip install dist/algovera-0.1.0-py3-none-any.whl
🚧 Contributing to the Library
There are currently two ways to contribute to the Algovera Library: adding more functionality to the python package or improving the jupyter lab extension.
First, clone the repository by running
git clone https://github.com/AlgoveraAI/jupyterlab_extensions.git
cd jupyterlab_extensions/
To start contributing, follow the commands below to set up a development environment.
conda create -n algolab-dev -c conda-forge jupyterlab ipylab jupyter-packaging nodejs ipytree bqplot ipywidgets numpy
conda activate algolab-dev
python -m pip install -e ".[dev]"
jupyter labextension develop . --overwrite
jlpm
jlpm run build
After any changes, run jlpm run build
to see them in Jupyter Lab. Note that you might need to run jlpm
or python -m pip install -e ".[dev]"
depending on whether you add new dependencies to the project.
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