Sorna Jupyter Kernel
====================
Your Jupyter notebooks are running on the Sorna Cloud!
Installation and Usage
----------------------
First, grab your API keypair in `Sorna
Cloud <https://cloud.sorna.io>`__.
.. code:: sh
$ pip install jupyter sorna-jupyter-kernel
$ python -m sorna.integration.jupyter.install
$ export SORNA_ACCESS_KEY=...
$ export SORNA_SECRET_KEY=...
$ jupyter notebook
Then you will see Sorna kernels in the new notebook menu:
.. raw:: html
<p style="text-align:center">
.. raw:: html
</p>
More kernels will become available soon!
Development
-----------
Add ``--sys-prefix`` argument to tell the installer to recognize
editable installation under your virtual environment.
.. code:: sh
$ python -m venv venv
$ source venv/bin/activate
$ pip install jupyter
$ pip install -e . # editable installation
$ python -m sorna.integration.jupyter.install --sys-prefix
$ export SORNA_ACCESS_KEY=...
$ export SORNA_SECRET_KEY=...
$ jupyter notebook
Uninstall
---------
To list and uninstall existing kernelspecs registered to Jupyter, use
``jupyter-kernelspec`` command.
====================
Your Jupyter notebooks are running on the Sorna Cloud!
Installation and Usage
----------------------
First, grab your API keypair in `Sorna
Cloud <https://cloud.sorna.io>`__.
.. code:: sh
$ pip install jupyter sorna-jupyter-kernel
$ python -m sorna.integration.jupyter.install
$ export SORNA_ACCESS_KEY=...
$ export SORNA_SECRET_KEY=...
$ jupyter notebook
Then you will see Sorna kernels in the new notebook menu:
.. raw:: html
<p style="text-align:center">
.. raw:: html
</p>
More kernels will become available soon!
Development
-----------
Add ``--sys-prefix`` argument to tell the installer to recognize
editable installation under your virtual environment.
.. code:: sh
$ python -m venv venv
$ source venv/bin/activate
$ pip install jupyter
$ pip install -e . # editable installation
$ python -m sorna.integration.jupyter.install --sys-prefix
$ export SORNA_ACCESS_KEY=...
$ export SORNA_SECRET_KEY=...
$ jupyter notebook
Uninstall
---------
To list and uninstall existing kernelspecs registered to Jupyter, use
``jupyter-kernelspec`` command.
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