jupyter-notebook works and does see the kernels.Thanks. The result is jupyter-lab opens but see no kernels. I reproduced the error on my usual system and a fresh install. All packages are binary installs via pkg. I came from a background that uses VSCode in most of my work so I have opted to use Visual Studio Code.ĭo you use VSCode for your Jupyter Notebook tasks? How do you find debugging notebooks in VSCode? Let me know in the comment section below.Hi, when starting /devel/p圓9-jupyterlab-3.5.0 on FreeBSD 13.1-RELEASE-p5, I get the following errors. I have read that JupyterLab has this feature too. Go ahead and start debugging your notebooks with Visual Studio Code. This will be important if you are dealing with more complex data structures in your code. I can even view the data with a data viewer. To continue stepping through the code, just click on the ‘debug’ button or press F10.Īs you can see, I can analyze the variables as I run the code line by line. If the watch section is not visible, you can click on the ‘show variables’ button ( see the button encircled in red in the image above). The watch window will be visible for us to look at the values as we step through the code. Select the cell and instead of clicking on the ‘run’ button, we click on the ‘debug’ button ( this is the button encircled in yellow in the image above). We will step through the code and watch the contents of all variables as we go along. upper () = 'MOUSE' : mouse_count += 1 print ( f "mouse count : " )Ĭreate a code cell on your new notebook and use the code above. # count the number of mouse in list of devicesĭevices = mouse_count = 0 for device in devices : if device. To work with Jupyter you need to start the Jupyter server, using the command below Once you have these installed, we are ready to roll.
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