jupyter-existing-provisioner 0.1.1

Connect to the last started kernel or by connection file.

jupyter_existing_provisioner

This package register existing_provisioner endpoint for attach to the running jupyter kernel.

pip install jupyter_existing_provisioner
# check endpoint
jupyter pyxll install

Based on PyXLL-Jupyter.

Requirements

• Jupyter-client >= 7.0.0

Optional

• jupyterlab >= 4.0.0

Installation

To install this package use:

pip install jupyter_existing_provisioner

Once installed register existing_provisioner endpoint for jupyter_client.

# check endpoints
jupyter kernelspec provisioners

Jupyter Lab

# prepare working environment
pip install qtconsole
python embed_qtconsole.py

# connect to the last kernel
jupyter lab --KernelProvisionerFactory.default_provisioner_name=existing-provisioner

# linux: connect to the kernel-xxxx.json file 
EXISTING_CONNECTION_FILE=kernel-xxxx.json jupyter lab --KernelProvisionerFactory.default_provisioner_name=existing-provisioner

# windows: connect to the kernel-xxxx.json file 
set EXISTING_CONNECTION_FILE=kernel-xxxx.json
jupyter lab --KernelProvisionerFactory.default_provisioner_name=existing-provisioner

In the working kernel show connection info magic %connect_info

Google Colab

Connect instruction

# prepare for connect colab
pip install jupyter_http_over_ws
jupyter serverextension enable --py jupyter_http_over_ws

jupyter lab --KernelProvisionerFactory.default_provisioner_name=existing-provisioner \
    --ServerApp.allow_origin='https://colab.research.google.com'

Start Google Colab and connect to the local environment - url from terminal.