Dataspell launching notebook incorrectly

When I run a code cell to start the managed jupyter server, Dataspell runs this command:

C:\path\to\DataSpell\Scripts\python.exe -m jupyter notebook "--notebook-dir=C:\path\to\Desktop\Project Name" --no-browser

However, Jupyter seems to have changed the command to run as

python -m notebook

I cannot find out how to change the launch command, because unlike the other IDEs that Jetbrains has, there do not seem to be an option to edit configurations.

I am trying to avoid starting the server on my own and then pasting the URL with the token into the Jupyter server configuration. I want to be able to use the IDE's managed server.


I realized that this is because the "jupyter-notebook" command is not on path, so "python -m jupyter notebook" will not work since it needs to see the "jupyter-notebook" command on PATH. 

I do have an command alias path on my PATH variable, where I just put the "jupyter-notebook" command, and now while DataSpell is able to launch a notebook, it is using my global python interpreter and not the one that the notebook configures. Need help as to how to set up the environment variables/ DataSpell configuration to get the configured interpreter (the one in DataSpell\Scripts\python) to work instead of my global installation.

1 comment

sounds like you want to configure DataSpell to use a specific Python interpreter associated with your project or virtual environment rather than your system's global Python interpreter. To achieve this, you can follow these steps:

Activate Your Virtual Environment:

Before launching DataSpell, make sure you have activated your project's virtual environment where you've installed the required Python interpreter and packages. You can activate it using the appropriate command for your virtual environment. For example, for a virtual environment created with virtualenv:
source path_to_virtualenv/bin/activate
Configure the Python Interpreter in DataSpell:

Open DataSpell.
Go to "File" > "Settings" (on Windows, it's "File" > "Settings" rather than "File" > "Preferences").
In the settings window, navigate to "Project: [Your Project Name]" > "Python Interpreter."
Use the gear icon and select "Add."
Choose "Existing environment" and browse to select the Python interpreter from your project's virtual environment. This interpreter should be located in the virtual environment's Scripts or bin directory.
Click "OK" to save the interpreter configuration.
Set the Interpreter for Your Notebook:

In DataSpell, open the Jupyter Notebook file that you want to run.
At the top of the notebook, you should see a dropdown menu for selecting the Python kernel (interpreter). Choose the interpreter you configured for your project.
Run Your Notebook:

Now, when you run your notebook in DataSpell, it should use the selected Python interpreter from your project's virtual environment.  qr code scanner
By following these steps, you ensure that DataSpell uses the specific Python interpreter associated with your project, allowing you to work within the desired environment and avoid conflicts with your system's global Python installation.


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