.. _debugger:

Debugger
========

JupyterLab 3.0 now ships with a Debugger front-end by default.

This means that notebooks, code consoles and files can now be debugged from JupyterLab directly!

Requirements
------------

For the debugger to be enabled and visible, a kernel with support for debugging is required.

For now ``xeus-python`` is the only Jupyter Kernels for Python that supports debugging.
However other Jupyter Kernels can also support debugging and be compatible with the JupyterLab debugger
by implementing the `Jupyter Debugger Protocol <https://jupyter-client.readthedocs.io/en/latest/messaging.html#debug-request>`_.

To install ``xeus-python`` in a new ``conda`` environment:

.. code:: bash

   conda create -n jupyterlab-debugger -c conda-forge jupyterlab=3 xeus-python
   conda activate jupyterlab-debugger

Usage
-----

``xeus-python`` can be selected from the JupyterLab launcher:

.. image:: ./images/debugger/xpython-launcher.png

Alternatively, it is also possible to switch to the `xpython` kernel using the kernel selection dialog:

.. image:: ./images/debugger/kernel-selection.gif

Enable the debugger, set breakpoints and step into the code:

.. image:: ./images/debugger/step.gif

Tutorial Notebook
-----------------

There is also a tutorial notebook to try the debugger that is available on the `jupyter-ide-demo repo <https://github.com/blink1073/jupyter-ide-demo>`_.
and can be run on Binder `here <https://mybinder.org/v2/gh/blink1073/jupyter-ide-demo/stable?urlpath=/lab/tree/index.ipynb>`_.

.. image:: ./images/debugger/tutorial-notebook.png