Answer:
D. nothing, as the alkyne would not react to an appreciable extent.
Explanation:
Nothing, as the alkyne would not react to an appreciable extent.
Answer:
The answer is "Using the DoD 5220.22-M method and Degauss media with a magnet".
Explanation:
The "DoD Standard" is a term used during the data sanitizing industry and refers to DoD 5220.22-M. The simplest ways are being used to help eliminate the previously stored data, by deleting hard disc storage facilities with the same data wherever that used a sequence of all zeros.
The sparging eliminates statistics to entirely delete the gravitational flux from electronic media. Hard drives as well as other data storage devices, for example, computer tapes, retain magnetic data. It could no longer be seen as storage after a disk is degaussed.
Answer:
The solution code is written in Python 3 as below:
- outfile = open("greeting.txt", "w")
- outfile.write("Hello World")
- outfile.close()
Explanation:
To create a simple text file in Python, we can use Python built-in function, <em>open()</em>. There are two parameters needed for the open() function,
- the file name and
- a single keyword "w". "w" denote "write". This keyword will tell our program to create a file if the file doesn't exist.
The statement <em>open("greeting.txt", "w")</em> will create a text file named "<em>greeting.txt</em>" (Line 1)
To fill up the content in the greeting.txt, we use <em>write()</em> method. Just include the content string as the argument of the <em>write()</em> method. (Line 2)
At last, we use <em>close() </em>method to close the opened file,<em> outfile</em>. This will release the system resource from the<em> outfile.</em>
Answer:
- from matplotlib import pyplot as plt
-
- with open("text.txt") as file:
- data = file.readlines()
- category = []
- amount = []
- for row in data:
- values = row.split(" ")
- category.append(values[0])
- amount.append(float(values[1]))
-
- figure = plt.figure()
- ax = figure.add_axes([0,0,1,1])
- ax.axis('equal')
- ax.pie(amount, labels = category, autopct='%1.2f%%')
- plt.show()
Explanation:
Firstly, we need to import matplotlib library (Line 1).
Next, open a file stream and use readlines method to read the data from the text file (Line 4). Presume the data read from the text files are as follows:
Rent 450
Gas 150
Food 500
Clothing 120
Car 600
Create two lists, category and amount (Line 5-6). Use a for loop to traverse through the read data and use split method to break each row of data into two individual items. The first item is added to category list whereas the second item is added to amount list (Line 7 - 10).
Next, create a plot figure and then add the axes (Line 12 - 13). We can use the pie method to generate a pie chart (Line 15) by setting the amount list as first argument and category list as value of labels attributes. The output pie chart can be found in the attachment.
Answer:
Service record (SRV)
Explanation:
Service records (SRV record) are data records stipulating specifications of the DNS such as the port numbers, servers, hostname, priority and weight, and IP addresses of defined or cataloged services servers.
The SRV record is the source of information and the search site about the
location of particular services as such an application i need of such services will look for a related SRV record
A configured SRV is the source of the ports and personal settings for a new email client, without which the parameters set in the email client will be incorrect.
