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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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10 Top Unix Disk Space Quiz Questions

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I have listed 10 top Quiz questions on UNIX disk space. These questions help you to understand about disk-related concepts quickly.

Unix Disk Space QUIZ Questions.

Below listed 10 quiz questions help you to know the disk-space related concepts.

1. All devices are considered as files in Unix.

Yes

2. All device files are stored in /etc or in its subdirectories.

No

3. CD-ROM is a character device.

No

4. The printer is a character device.

Yes

5. The minor number represents the type of device.

No

6. The dd command is used for copying data from one medium to another.

Yes

7. The term bs in the dd command stands for block size.

Yes

8. The du utility displays complete information about the usage of disk space by each file and directory.

Yes

9. By default, the du command displays information in terms of 1024-byte blocks.

No

10. The df command reports only the free disk space of the file system installed on our machines.

Yes

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