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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

Top IT Skills 2015

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IT spending for security technologies will increase 46% in 2015, with cloud computing increasing 42% and business analytics investments up 38%. Enterprise investments in storage will increase 36%, and for wireless and mobile, 35%. IT spending for security technologies will increase 46% in 2015, with cloud computing increasing 42% and business analytics investments up 38%. Cloud computing initiatives are the most important project for the majority of IT departments today (16%) and are expected to cause the most disruption in the future. IDG predicts the majority of cloud computing’s disruption will be focused on improving service and generating new revenue streams. These and other key take-aways are from recent IDG Enterprise research titled Computerworld Forecast Study 2015. The goal of the study was to determine IT priorities for 2015 in areas such as spending, staffing and technology.  Computerworld spoke with 194 respondents, 55% of which are from the executive IT roles. 1