- Install the Qudi Jupyter kernel
- Ensure that your Anaconda environment or Python installation has up-to-date dependencies
- In a terminal, go to the
core
folder in the qudi
folder
- Eventually do
activate qudi
to activate the conda environment
- Do
python qudikernel.py install
- This should tell you where the kernel specification was installed
- Configure Qudi
- Ensure that your Qudi configuration file contains the following entry or an equvalent configuration in the
global
section:
module_server:
- address: 'localhost'
- port: 12345
- Ensure that your Qudi configuration file contains the following entry in the
logic
section:
kernellogic:
module.Class: 'jupyterkernel.kernellogic.QudiKernelLogic'
remoteaccess: True
- Start the Jupyter notebook server
- Run
activate qudi
to activate the conda environment
- Run
jupyter notebook
or an equivalent, when starting from the Windows Start menu, be sure to pick the Jupyter notebook installed into the Qudi environment
- Start Qudi with the configuration you checked before
- Now, the 'New' menu should have a 'Qudi' entry and in a notebook, the 'Kernel->Change kernel' menu should also have a qudi entry
- If anything goes wrong, check that your firewall does not block the Qudi remote connections or the Jupyter notebook connections