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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

SMAC - $1 Trillion Industry By 2020

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At least 5-6 lakh people will soon be employed in the space, according to Ganesh Natarajan, CEO, Zensar Technologies The size of the overall SMAC industry globally will be close to $1 trillion by 2020. From the Indian software exporters’ point of view, it will be $15 billion within the next three years, and over $ 225 Billion by 2020. Translating that to people it would mean at least 5-6 lakh people employed in this space by that time. Zensar Technologies has a Digital Enterprise group focusing on digital transformation solutions, where we work with clients in the US, Europe and India to understand what applications can be taken to the Cloud, which is almost 30 per cent of the SMAC opportunity. The second area is Social Listening involving analysis of information on the social media. Zensar provides a service that will enable our clients, especially those who are interacting with consumers directly and often, like insurance companies, retail banks, etc. on how to improve