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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

Linux Must Read Course Contents

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The complete syllabus for the Linux certification course you need to know before start preparation for the test. List of Course Contents The Linux community and a career in open source Finding your way on a Linux system The power of the command line The Linux operating system Security and file permissions Topic 1: The Linux Community and a Career in Open Source (weight: 7) 1.1 Linux Evolution and Popular Operating Systems Weight: 2 Description: Knowledge of Linux development and major distributions. Key Knowledge Areas: Open Source Philosophy Distributions Embedded Systems The following is a partial list of the used files, terms and utilities: Android Debian, Ubuntu (LTS) CentOS, openSUSE, Red Hat Linux Mint, Scientific Linux 1.2 Major Open Source Applications Weight: 2 Description: Awareness of major applications as well as their uses and development. Key Knowledge Areas: Desktop Applications Server Applications Development Languages Package Management