Jupyter

An extension with rich support for Jupyter

Quick Start

Install the extension
When using Python, install the Python extension as well.
Install Jupyter
- You're ready to use it.

Tested with Python and JavaScript Kernels (support for others coming soon)

Sample Python usage

Create a Python file with the following text

#%%
import matplotlib.pyplot as plt
import matplotlib as mpl
import numpy as np

x = np.linspace(0, 20, 100)
plt.plot(x, np.sin(x))
plt.show()

Click on the code lens Run Cell

Run Cell Hot key as in Chrome

If you want to run cell with Ctrl+Enter, add those code in keybindings.json.

{ "key": "ctrl+enter",      "command": "jupyter.execCurrentCell",
                                  "when": "editorTextFocus"
}

Connect to Remote Jupyter kernel on Server / Docker

Try this to connect to a remote Jupyter kernel running on a server, or inside Docker container:

Make sure Jupyter, Notebook, and jupyter_kernel_gateway packages are installed. They are all included by default in Anaconda installation, but if you are using PIP you may need to install them manually.
Run following commands on Linux: (Windows users will need to adapt these commands for their env)

# Generate config file for KernelGateway
jupyter kernelgateway --KernelGatewayApp.generate_config=True

# Generate config for Jupyter Notebook
jupyter notebook --generate-config --allow-root

# Append appropriate values to both config files
echo -e "c.JupyterWebsocketPersonality.list_kernels = True" >> ~/.jupyter/jupyter_kernel_gateway_config.py
echo -e "c.NotebookApp.allow_root = True" >> ~/.jupyter/jupyter_notebook_config.py

Start a remote Jupyter Notebook or headless KernelGateway
Find the token in the output of the Jupyter server logs: http://jupyter-notebook.readthedocs.io/en/latest/security.html

Then in VS Code: