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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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Tail Command in Linux: A Comprehensive Overview

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The tail in Linux is handy command. You can check the last lines of a file in Linux/Unix operating systems. You can use it to display last lines from single file, display last lines from multiple files, display the last entries of log files. Tail Command in Linux During production support the usage of Tail command is helpful since you can check latest logs quickly. Here are the top Tail command examples. #1 Display last lines in a file (Tail file Linux) Here's the tail command that shows last three lines of a file. cat sample.txt | tail -3 It displays last 3 lines of a file. The same command you can use as tail -3 sample.txt #2 Display last lines of multiple files There are three files. sample2.txt, sample3.txt, sample4.txt. The command displays the last 3 lines from all the three files. tail -3 sample[2-4].txt #3 Tail -f option (Tail f Linux) The –f option is to check status of long-running process that is redirecting output to a file. For example, if you invoke the below command
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