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ML studio is, by default picking up Python 3.6 kernel, even when I'm specifying use Python 3.8 AzureML kernel. In UI, it's changed but not actually.
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Hi, thanks for reaching out. It looks like the command you ran isn't supported. A better command to test kernel changes is shown below:
from platform import python_version
print(python_version())
Hope this helps!
Yup this shows the correct answer, however when I'm looking for packages it still comes up in different enviornment.
Can you clarify using examples, thanks.
let's say even when i install a package, it will tell dependency meets while it shows the location of python3.6 sites rather than 3.8
.
So for a moment when I got kernel selected as 3.8 and i run pip show pandas, i get this
You may be running an out of kernel command. Making some inquiries to confirm, will get back to you shortly.
that's not it even, when I installed the azure-data-lake package during python 3.8 kernel via pip install, it installed and now just says requirement satisfied while I import I get the errors and when I choose 3.6 import works.
Please use %pip show pandas instead. In IPython (jupyter) 7.3 and later, there is a magic %pip and %conda command that will install into the current kernel (rather than into the instance of Python that launched the notebook).