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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

Information Architect Key Responsibilities

Gartner defines "enterprise information architecture" as that part of the enterprise architecture process. It is a set of requirements , principles and models — the current state, future state, and guidance necessary to flexibly share and exchange information assets to achieve effective enterprise change.  Enterprise information Architect also called EIA. Information Architecture  The transition from information that is isolated within applications to a flexible, comprehensive enterprise information architecture will require changes in technology, process, organizational structure and orientation.  In particular, EA practitioners comfortable with technical architecture must now devote time to understanding this emerging discipline.  Gartner projects that, EA teams will be forced by the business to spend as much time on information architecture as they currently spend on technical architecture.  Changes will also impact a range of disciplines across the organization and will