title: np.exp much slower than np.e?
body: <pre><code>In [49]: timeit.timeit("np.exp(100)", setup="import numpy as np")
  Out[49]: 1.700455904006958
  
  In [50]: timeit.timeit("np.e**100", setup="import numpy as np")
  Out[50]: 0.16629505157470703
  </code></pre>
  
  <p>Is there any reason that using the CPython implementation of np.e**100 is that much slower than using the numpy version? Shouldn't the numpy version be faster as it is pushed down to C code?</p>