Unable to pip install tensorflow_cloud in Colab

While attempting to follow this official tutorial in a Colab notebook, I run the first line of code to install tensorflow_cloud:

!pip install -q tensorflow_cloud

And get this error:

ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. multiprocess 0.70.12.2 requires dill>=0.3.4, but you have dill 0.3.1.1 which is incompatible. google-colab 1.0.0 requires requests~=2.23.0, but you have requests 2.26.0 which is incompatible. datascience 0.10.6 requires folium==0.2.1, but you have folium 0.8.3 which is incompatible.

When I try to import tensorflow_cloud with import tensorflow_cloud as tfc I get this error:

AlreadyExistsError: Another metric with the same name already exists.

Isn't tensorflow cloud designed to be run in Colab notebooks? Why does it have dependency conflicts with the standard Colab environment?

Start by reproducing the pip install and import steps in the linked Colab tutorial, then inspect tensorflow_cloud's package dependencies against the standard Colab environment. Done means the documented installation and import complete without the reported dependency conflicts or duplicate-metric error.