Python numpy.var returning wrong values -

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I am trying to calculate a general deviation on a set of 3 numbers: 

 <   P> However, when you calculate deviation, it should actually be  
  0.1441405   
 looks like such a simple thing, but now I No answers have been found till  
  ddof: int, optional " delta degree of freedom": the divisor used in the calculation is `` n-ddof``, where `` nm elements Represents. `Ddof` is zero by default.   
 And so you have:  
  & gt; & Gt; & Gt; Numpy.var ([0.82159889, 0.26007962, 0.09818412], ddof = 0) 0.0960 9366366174843 & gt; & Gt; & Gt; Numpy.var ([0.82159889, 0.26007962, 0.09818412], ddof = 1) 0.14414049549262264   
 It is common for both conventions that you have to always check which package you are using In any language, using.

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