Should I Access the Python Environment Same as the Notebook Kernel of the Current Instance in the Terminal?¶
The following uses the TensorFlow-1.8 engine as an example. The operations on other engines are similar. You only need to replace the engine name and version number in the commands.
Open a notebook instance.
On the displayed Jupyter dashboard, click New and select Terminal from the shortcut menu.
The README file exists in the user directory on the Terminal. The file describes how to switch different Python environments.
Enter the following command in the code input bar to search for a virtual environment name:
cat /home/ma-user/README
Enter the following command in the code input bar to activate different environments: For example, for the TensorFlow-1.8 engine in the Python2 environment, you can replace ** with TensorFlow-1.8 in the command line. You can replace it with the engine of another version. Example:
source /home/ma-user/anaconda2/bin/activate **