Looking for a way to use Python 3.10 on a compute resource associated to Azure ML Studio It appears 3.10 is available with ML Studio and we select 3.10 with SDK2 from the kernel selection dropdown but when running a "python --version" on the terminal, it says v 3.8.5. Is there a way to get Azure ML Studio to use a different version of Python? We've tried the environment option but had no luck. Looks like the kernel selection option does not match what the OS is running, perhaps it's designed to work this way?
That is because of the selected conda environment. There will be multiple environments created when you create a compute instance.
To see, run the conda command below:
%%sh
conda info --env
This lists the environments present.
However, if you run this in a notebook, you cannot see which environment you are in.
So, execute these commands in the terminal.
Open the compute and select Terminal.
There, you will see the default is Python 3.8.
You can also see this with the commands below:
conda info --env
or
conda env list
or
echo $CONDA_DEFAULT_ENV
Output:
Whenever you select the kernel, it doesn't switch the environment in the terminal; that only changes in the notebook Python code.
Whatever command you run in a subprocess or using %%sh
, it takes the default Python environment.
import sys, platform
print(sys.version)
print(platform.python_version())