Failing to pip install Tensorflow into Atom/Hydrogen

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I have been bouncing around Internet tutorials on the above for 2 days now... but since I don't know what I don't know... I'm really stuck.

Objective : Start using Keras/tensorflow on Atom via Hydrogen that I have started using (and find complexe but great) Problem : I get this when I try to run a script :

ModuleNotFoundError                       Traceback (most recent call last)
Input In [3], in <module>
      1 import sys
----> 2 import tensorflow as tf
      3 import pandas as pd
      4 from matplotlib import pyplot as plt

ModuleNotFoundError: No module named 'tensorflow'

So normaly I would pip install Tensorflow as per instructions: https://www.tensorflow.org/install/pip However, I get :

2022-06-04 13:23:02.085667: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cudart64_110.dll'; dlerror: cudart64_110.dll not found

and some other dll not found (CUDA and other SW are installed as per above instructions) And still do not resolve the initial problem. This probably stems from my misunderstandings of PIP, virtual environments, PATH variables MiniConda tutti quanti.

Question : Why, after installing Tensorflow via PIP do I still get the error that Tensorflow is not installed ?

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