Answer:
Please check the attachment.
Explanation:
The adjacency matrix is the matrix that has nodes as rows and columns. The nodes if connected is stated as 1 or else 0. And the adjacency list representation is the list with nodes and connected nodes. The nodes that are not connected are not being listed. The diagram and list as well as matrix can be found in the attachment.
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Answer:
import numpy as np
l_int = 55/100
h_int = 65/100
hist = np.histogram( paid_tax_preparers_list, bins=5, range=(l_int, h_int))
Explanation:
Numpy is a Python package used to ease mathematical and statistical research calculations. The package creates data structures called arrays that can be used as vector items, making it easy and fast for calculation to be done.
The np.histogram method is used to create or plot histograms of a list or array against the frequency of the items in the array. The bins and the range attributes are used to adjust the display of the histogram, with bins being the number of bin in the graph and range is the given length of the histogram.
Answer:
And clicking the security tab option.
Explanation:
Lets explain what an object's ACL is. I will use an example to best explain this. Let's suppose that user Bob would want to access a folder in a Windows environment. What supposedly will happen is that Windows will need to determine whether Bob has rights to access the folder or not. In order to do this, an ACE with the security identity of John will be created. These ACEs are the ones that grant John access to the folder and the ACLs of this particular folder that John is trying to access is a list of permissions of everyone who is allowed to access this folder. What this folder will do is the to compare the security identity of John with the folders ACL and determine whether John has Full control of the folder or not.
By right clicking the folder and selecting the security tab, John will be in a position to see a list of the permissions (ACLs) granted to him by the folder.