I have a reasonable understanding of the difference between conda install& pip install; How pip installs python only packages & conda can install non-python binaries. However, there is some overlap between these two. Which leads me to ask:
What's the rule of thumb for whether to use conda or pip when both offer a package?
For example, TensorFlow is available on both repositories but from the tensorflow docs:
within Anaconda, we recommend installing TensorFlow with the
pip installcommand, not with theconda installcommand.
But, there are many other packages that overlap, like numpy, scipy etc.
However, this Stackoverflow answer suggests that conda install should be the default & pip should only be used if a package is unavailable from conda. Is this true even for TensorFlow or other python-only packages?
