title: SciPy/NumPy import guideline
body: <p>Notice: I checked for duplicate and nothing clearly answers my question. I trust you'll let me know if I missed something!</p>
  
  <p>In an effort to clean up my code, I have been looking for a standard convention for importing SciPy and NumPy in my programs. I know there is no strict guideline and I can do it the way I want, but from time to time, I still find contradictory instructions.</p>
  
  <p>For example, I've read somewhere that NumPy is meant to only implement the array object, while SciPy is there for every other scientific algorithms. So NumPy should be used for array operation and SciPy for everything else...
  On the other hand, SciPy imports every Numpy functions in its main namespace, such that <code>scipy.array()</code> is the same thing as <code>numpy.array()</code> (<a href="https://stackoverflow.com/questions/6200910/relationship-between-scipy-and-numpy">see this question</a>), so NumPy should only be used when SciPy is not being used, as they are duplicates...</p>
  
  <p>What is the recommended way to work with SciPy and NumPy? Being a scientist, <code>sqrt(-1)</code> should return a complex number, so I'm inclined to go with SciPy only.</p>
  
  <p>Right now, my code starts with:</p>
  
  <pre><code>import numpy as np
  from scipy import *
  from matplotlib import pyplot as plt
  </code></pre>
  
  <p>I use scipy for mathematical operation (such as <code>log10()</code>) and numpy for array creation/operations (such as <code>np.zeros()</code>). Would it be fine to go all the way with SciPy and never import NumPy explicitly? Will a future update remove NumPy's array manipulation from SciPy?</p>