![]() Also note that your Python environment is activated during JupyterLab Server launch and that activation adds additonal environment variables and modifies the PATH environment variable for the server process. These environment variables depend on how you launched the desktop app (from CLI or via OS GUI). When JupyterLab Server is launched, environment variables are passed from desktop application to the server process. You can see the preview of the server launch command as you make changes. Server tab in the settings dialog allows you to add custom arguments and override the default arguments. Some arguments are fixed and cannot be changed and some default arguments are added to the fixed arguments. JupyterLab Desktop sets several launch arguments when launching the JupyterLab Server instances. Configuring JupyterLab Server launch Server Launch Arguments Setting the value to empty string or removing the key will reset the change. Python environment is stored with pythonPath key in those files. See the Configuration and data files section for more information about the settings storage. Python environment selections are saved in user settings or project settings and restored at launch. The setting will be saved to project settings and restored at next launch via CLI or UI. ) and then the application will launch in the specified project directory with the Python environment set. jlab -python-path /Users/username/custom_env/bin/python. You can set the -python-path CLI parameter (e.g. Once you select a new environment, JupyterLab server will be restarted using the new environment without restarting the application.Īnother way to set project specific Python environment is by using the CLI. ![]() You can also paste a Python path from the clipboard into the input field and hit Enter key to select it. Python executable can be found at the root directory of the virtual environment on Windows and in the bin directory of the environment on macOS & Linux. If you are browsing for a Python path, select the Python executable ( python.exe on Windows and python on macOS & Linux) of the custom environment you would like to use. You can choose from one of the Python paths listed on the menu or click the browse button on top right to browse and select any other Python paths existing on your computer. ![]() ![]() Compatible Python environments discovered on your computer and any previously used environments will be listed in the menu.
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