Failure to start kernel when using Conda Environments

Starting Python Kernels that use Conda Environments can be challenging. Sometimes the Jupyter extension is unable to correctly activate the Conda Environment. This could happen when you have multiple flavours of conda installed, such as Anaconda, miniconda, etc.

To get around this issue, please update your settings to let the Python extension know where to locate the conda executable.

• Open your settings panel using the command Preferences: Open User Settings
• Enter the string conda in the settings search input
• Locate the fully qualified path of the conda executable on your machine
• Enter the fully qualified path to the conda executable in the setting (see screen sample below)