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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

Three Top RPA tools functional differences

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Robotic process automation is a grown-up area. Many IT developers across the board started up-skill in this popular area. This post is useful for Software developers who are interested in RPA (Robotic Process Automation). In my previous post , I have shared twelve RPA tools. Out of those, three tools are the most popular. Those are Automation Anywhere, BluePrism, and Uipath. This post covers differences in these tools. Blue Prism Blue Prism has taken a simple concept, replicating user activity on the desktop, and made it enterprise strength. The technology is scalable, secure, resilient, and flexible. It is has a comprehensive methodology, operational framework, and provided as packaged software. The technology is developed and deployed within a corridor of IT governance. It has sophisticated error handling and process modeling capabilities to ensure it can perform at scale within demanding, highly sophisticated operating environments. The combination of SOA/BPMS and Blue Prism pl