What's the difference between scikit-learn and tensorflow? Is it possible to use them together?
Both are 3rd party machine learning modules, and both are good at it.
Tensorflow is the more popular of the two.
Tensorflow is typically used more in Deep Learning and Neural Networks.
SciKit learn is more general Machine Learning.
And although I don't think I've come across anyone using both simultaneously, no one is saying you can't.
I cannot get a satisfying answer to this question. As I understand it, TensorFlow is a library for numerical computations, often used in deep learning applications, and Scikit-learn is a framework for general machine learning. 
But what is the exact difference between them, what is the purpose and function of TensorFlow? Can I use them together, and does it make any sense?