title: Python, Numpy, User Guide 1.13.0. Is there written a wrong output by mistake?
body: <p>I have just read the user guide of Numpy. And wrote the codes in a Python console that were written in the guide. What I want to ask is about the below image.
  <a href="https://i.stack.imgur.com/07eSH.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/07eSH.png" alt="enter image description here"></a></p>
  
  <p>When I typed the same codes into the console I received a different output of <code>a.dtype</code>.</p>
  
  <pre><code>&gt;&gt;&gt; import numpy as np
  &gt;&gt;&gt; a = np.array([2,3,4])
  &gt;&gt;&gt; a
  array([2, 3, 4])
  &gt;&gt;&gt; a.dtype
  dtype('int32')
  &gt;&gt;&gt; b = np.array([1.2, 3.5, 5.1])
  &gt;&gt;&gt; b.dtype
  dtype('float64')
  </code></pre>
  
  <p>In the guide, the dtype of a was written  as 'int64' but in my console the dtype of <code>a</code> seems 'int32'.</p>
  
  <p>Also I looked at the reference book of Numpy and saw a code that makes an array's data type to int64, the code is:</p>
  
  <pre><code>&gt;&gt;&gt; a = np.array([2, 3, 4], np.int64)
  &gt;&gt;&gt; a.dtype
  dtype('int64')
  </code></pre>
  
  <p>So is that output that can be seen in the image written wrong by mistake or there's something different that I need to learn later?</p>