Open iurisegtovich opened 3 years ago
Sure, you can hack your way through using Bash cells, but that disclaimer is addressing the (large) part of the Colab users that rely on the interactive Python kernel.
We can add some clarification in the README if you want!
shell commands in the notebook are executed in a temporary subshell
so the env will always be base
per !<command>
by default
This is the limitation of IPython, not a shortcoming of this project I suppose
shortcoming mentioned "You can only use the base environment, so do not try to create more environments with conda create."
but i think i am actually able to do so, like this:
the output is as follows:
as you can see, in the last line the older python has been called successfully
(my use case is testing compilation and running of hybrid python/c++ packages, not for interactive usage in the notebook kernel)