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The Quick and Easy Way to Analyze Numpy Arrays

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The quickest and easiest way to analyze NumPy arrays is by using the numpy.array() method. This method allows you to quickly and easily analyze the values contained in a numpy array. This method can also be used to find the sum, mean, standard deviation, max, min, and other useful analysis of the value contained within a numpy array. Sum You can find the sum of Numpy arrays using the np.sum() function.  For example:  import numpy as np  a = np.array([1,2,3,4,5])  b = np.array([6,7,8,9,10])  result = np.sum([a,b])  print(result)  # Output will be 55 Mean You can find the mean of a Numpy array using the np.mean() function. This function takes in an array as an argument and returns the mean of all the values in the array.  For example, the mean of a Numpy array of [1,2,3,4,5] would be  result = np.mean([1,2,3,4,5])  print(result)  #Output: 3.0 Standard Deviation To find the standard deviation of a Numpy array, you can use the NumPy std() function. This function takes in an array as a par

Windows Azure Cloud computing top points you need to learn now

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Interestingly, Windows Azure is an open platform that will support both Microsoft and non-Microsoft languages and environments. Basically Windows Azure is Cloud computing To build applications and services on Windows Azure, developers can use their existing Microsoft® Visual Studio® 2008 expertise. What is Azure Windows Azure is not grid computing, packaged software, or a standard hosting service. It is an integrated development, service hosting and management environment maintained at Microsoft data centers. The environment includes a robust and efficient core of compute and simple storage capabilities and support for a rich variety of development tools and protocols. Jon Brodkin of Network World quotes Tim O'Brien, senior director of Microsoft's Platform Strategy Group, as saying that Microsoft's Windows Azure and Amazon's Elastic Compute Cloud tackle two very different cloud computing technology problems today, but are destined to emulate each other over ti