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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

Tech Mahindra Launched Big data platform

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Tech Mahindra has announced the launch of Usage Based Insurance (UBI), a big data and predictive analysis driven platform for auto insurers. It allows them to adjust premiums according to actual usage patterns of individual drivers instead of industry averages. UBI Platform The platform is flexible to fit to the growing needs of global insurance enterprises, where the market is expected to grow $100 billion plus by the end of the decade. The solution utilizes the capabilities of Tech Mahindra and AT and T in the areas of multi-vertical, engineering and infrastructure capabilities. As a result of this, the global insurers can reduce their claim costs by up to 20%,while reducing eligible insured driver premiums up to 40%. This Usage Based Insurance solution is hosted on the seamless AT&T cloud and served through AT and T's global Machine-to-Machine (M2M) capabilities. What is usage based insurance This technology is already being used successfully for both car a