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The Quick and Easy Way to Analyze Numpy Arrays

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

How to Send Shell script Result to Email

The shell-script result you can send to email. Below, you will find the steps you need to do it. There are two steps and both will help you know the entire process. Sending shell-script results to email Creating shell-script Sending the result to email 1. Creating shell-script Create an empty script Create script using the vi command with the Sudo command. $sudo vi Write the first line in the script #!/bin/bash exec > out1.txt 2>&1 Add logic in the shell script #!/bin/bash exec > out1.txt 2>&1 echo" Here is my logic" Provide executable permissions to your script $ sudo chmod +x Run your script using the command below $ ./ Verify the output $ cat out1.txt 2. Sending result to email Use the below command to send the output (result) to email. $ mail <<output file path name>> Bottom-line These steps are helpful to send the output to an email.  References How to Install Mailx Utility in Linux