title: Sliding standard deviation on a 1D NumPy array
body: <p>Suppose that you have an array and want to create another array, which's values are equal to standard deviation of first array's 10 elements successively. With the help of for loop, it can be written easily like below code. What I want to do is avoid using for loop for faster execution time. Any suggestions?</p>
  
  <pre><code>Code
  a = np.arange(20)
  b = np.empty(11)
  for i in range(11):
      b[i] = np.std(a[i:i+10])
  </code></pre>