Trouble with TensorFlow in Jupyter Notebook
Open an Anaconda Prompt screen:   (base) C:\Users\YOU>conda create -n tf tensorflow
After the environment is created type: conda activate tf
Prompt moves to (tf) environment, that is: (tf) C:\Users\YOU>
then install Jupyter Notebook in this (tf) environment:
conda install -c conda-forge jupyterlab - jupyter notebook
Still in (tf) environment, that is type
(tf) C:\Users\YOU>jupyter notebook
The notebook screen starts!!
A New notebook then can import tensorflow 
FROM THEN ON
To open a session
click Anaconda prompt,
type conda activate tf
the prompt moves to tf environment
(tf) C:\Users\YOU>
then type (tf) C:\Users\YOU>jupyter notebook
I installed Jupyter notebooks in Ubuntu 14.04 via Anaconda earlier, and just now I installed TensorFlow. I would like TensorFlow to work regardless of whether I am working in a notebook or simply scripting. In my attempt to achieve this, I ended up installing TensorFlow twice, once using Anaconda, and once using pip. The Anaconda install works, but I need to preface any call to python with "source activate tensorflow". And the pip install works nicely, if start python the standard way (in the terminal) then tensorflow loads just fine. 
My question is: how can I also have it work in the Jupyter notebooks? 
This leads me to a more general question: it seems that my python kernel in Jupyter/Anaconda is separate from the python kernel (or environment? not sure about the terminology here) used system wide. It would be nice if these coincided, so that if I install a new python library, it becomes accessible to all the varied ways I have of running python.