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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
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Wipro Expecting More Projects on Analytics and Cloud

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Wipro Expecting More Projects on Analytics and Cloud
#Wipro Expecting More Projects on Analytics and Cloud:
Bangalore-based IT firm WiproBSE 1.17 % expects to land bigger deals for solutions based on digital technologies like social, mobility, analytics and cloud, a sign that companies are willing to increase their spend on these discretionary areas. 

"While our sweet spot is deals in the $2.5-3.5 million (Rs 15-21 crore) range, we are seeing deals worth $5-10 million (about Rs 30-60 crore) in the pipeline," Jeff Heenan-Jalil, global head of Wipro's advanced technology solutions unit said  in an interview to ET. 

Wipro's rivals including TCS, InfosysBSE 1.65 % and Accenture have all created separate units to target the digital business, which is based on the technologies which go by the acronym SMAC. The business has typically involved smaller deals till now and posed a problem for IT companies trying to raise their share of revenue from these services. 



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