If you're doing more than one project on your machine then you need to concern yourself with dependencies across projects. In python the old-school way of doing this is to use virtualenv and pip. These tools get the job done, but they may have some caveats you should be aware of.
To re-iterate. When we run this;
then we are technically at risk of launching the wrong jupyter lab reference
pip freeze suggests we've installed it in our virtualenv. It
can therefore be much safer to run this instead;
python -m jupyter lab
This way we don't fail silently anymore.
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