Answer:
a. method body.
Explanation:
A method contains the following components:
- method implementation code
All of these together constitute the method body. The method body contains the declarations and statements constituting the method definition.
Apart from this, when the method is invoked at runtime, it needs to be called with method-name and the actual parameter list which gets substituted for the formal parameters in the method body.
Answer:
negatives = []
zeros = []
positives = []
while True:
number = input("Enter a number: ")
if number == "":
break
else:
number = int(number)
if number < 0:
negatives.append(number)
elif number == 0:
zeros.append(number)
else:
positives.append(number)
for n in negatives:
print(n)
for z in zeros:
print(z)
for p in positives:
print(p)
Explanation:
Initialize three lists to hold the numbers
Create a while loop that iterates until the user enters a blank line
Inside the loop:
If the number is smaller than 0, put it in the negatives list
If the number is 0, put it in the zeros list
Otherwise, put the number in the negatives list
When the while loop is done, create three for loops to print the numbers inside the lists
The two access modes that are used when opening a file for input and output when pickling are rb and wb.
<h3>What is pickling?</h3>
Pickle is generally used in Python to serialize and deserialize a Python object structure. In other words, it is the act of transforming a Python object into a byte stream in order to save it to a file/database, maintain program state across sessions, or transport data over a network. By unpickling the pickled byte stream, the original object hierarchy can be recreated. This entire procedure is comparable to object serialization in Java or .Net.
When a byte stream is unpickled, the pickle module first makes an instance of the original object before populating it with the right data. To accomplish this, the byte stream only carries data relevant to the original object instance.
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Explanation:
The data life cycle is the sequence of stages that a particular unit of data goes through from its initial generation or capture to its eventual archival and/or deletion at the end of its useful life. Although specifics vary, data management experts often identify six or more stages in the data life cycle.
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