Official abbreviation for: import scipy as sp/sc

The "official" answer, according to the Scipy documentation, is that there is really no reason to ever

import scipy

since all of the interesting functions in Scipy are actually located in the submodules, which are not automatically imported. Therefore, the recommended method is to use

from scipy import fftpack
from scipy import integrate

then, functions can be called with

fftpack.fft()

Personally, I always use

import scipy.fftpack

and live with the slightly longer function call

scipy.fftpack.fft(data)

This way I know where the functions are coming from.

As cel pointed out, the API documentation recommends to not import scipy, but to import specific modules from scipy:

The scipy namespace itself only contains functions imported from numpy. These functions still exist for backwards compatibility, but should be imported from numpy directly.

Therefore, importing only the scipy base package does only provide numpy content, which could be imported from numpy directly.

If somebody still wants the main package, sp for Scipy would be convenient as np usially is used for NumPy.