# We can start a private kernel using some kernel configs using:
python -m ipykernel_launcher -f config/kernel-s3-next.json

# Start the Flask server which is responsible for handling the work
export FLASK_APP=jupyterkernelproxy_server
flask run

# We can connect to the kernel to run code
jupyter console --existing ~/Documents/GitHub/next/foresight/config/kernel-s3-next.json
	# whitin the console type
	run proxy.py

# starting a new kernel
```bash
curl --location --request POST 'http://localhost/api/kernels' \
--header 'Authorization: Token 31aac415791afb49'
```



