Use the terms "equivalent" and "identical" to distinguish between objects and values. Illustrate the difference further using your own examples with Python lists and the “is” operator. Using your own Python list examples, explain how objects, references, and aliasing relate to one another.Finally, create your own example of a function that modifies a list passed in as an argument. Hence, describe what your function does in terms of arguments, parameters, objects, and references. Create your own unique examples for this assignment
Question
Use the terms "equivalent" and "identical" to distinguish between objects and values. Illustrate the difference further using your own examples with Python lists and the “is” operator. Using your own Python list examples, explain how objects, references, and aliasing relate to one another.Finally, create your own example of a function that modifies a list passed in as an argument. Hence, describe what your function does in terms of arguments, parameters, objects, and references. Create your own unique examples for this assignment
Solution
In Python, the terms "equivalent" and "identical" are used to distinguish between objects and values. Two objects are said to be "identical" if they are the same object, and "equivalent" if they have the same value.
For example, consider the following Python lists:
list1 = [1, 2, 3]
list2 = [1, 2, 3]
list3 = list1
Here, list1 and list2 are equivalent because they have the same values, but they are not identical because they are not the same object. We can confirm this using the is operator:
print(list1 is list2) # Outputs: False
print(list1 == list2) # Outputs: True
On the other hand, list1 and list3 are both equivalent and identical because list3 is an alias for list1:
print(list1 is list3) # Outputs: True
print(list1 == list3) # Outputs: True
This brings us to the concepts of objects, references, and aliasing. In Python, variables are references to objects. When we say list3 = list1, we are not creating a new list; we are creating a new reference (list3) to the same object that list1 refers to. This is called aliasing.
Now, let's create a function that modifies a list passed in as an argument:
def add_element(my_list, element):
my_list.append(element)
In this function, my_list is a parameter that takes an argument which is a reference to a list. The append method modifies this list object by adding a new element to it. Because lists are mutable in Python, changes made to the list inside the function are reflected outside the function as well:
numbers = [1, 2, 3]
add_element(numbers, 4)
print(numbers) # Outputs: [1, 2, 3, 4]
In this example, numbers is an argument passed to the add_element function. Inside the function, my_list is a parameter that refers to the same list object that numbers refers to. Therefore, when we modify my_list, we are also modifying numbers.
Similar Questions
If a Python function modifies an argument of type list, the caller’s corresponding variable is modified to match.Question 5Select one:TrueFalse
Welcome to the Unit 2 Discussion Forum.Write your own Python code examples that demonstrate each of the following. Do not copy examples from the book or any other source. Try to be creative with your examples to demonstrate that you invented them yourself.Example 1: Define a function that takes an argument. Call the function. Identify what code is the argument and what code is the parameter.Example 2: Call your function from Example 1 three times with different kinds of arguments: a value, a variable, and an expression. Identify which kind of argument is which. Example 3: Construct a function with a local variable. Show what happens when you try to use that variable outside the function. Explain the results.Example 4: Construct a function that takes an argument. Give the function parameter a unique name. Show what happens when you try to use that parameter name outside the function. Explain the results.Example 5: Show what happens when a variable defined outside a function has the same name as a local variable inside a function. Explain what happens to the value of each variable as the program runs.The code and its output must be explained technically whenever asked. The explanation can be provided before or after the code, or in the form of code comments within the code. For any descriptive type question, Your answer must be at least 150 words.End your discussion post with one question related to programming fundamentals learned in this unit from which your colleagues can formulate a response or generate further discussion. Remember to post your initial response as early as possible, preferably by Sunday evening, to allow time for you and your classmates to have a discussion. Reply to two (2) of your classmates' posts.
Lists and strings are similar in many ways. Describe and show with codethree ways in which they are not alike.
16. a = [1,2,3]b= aa == ba is bc = list(a)a == ca is cb == cWhich of the following statements is True?a is b: This statement checks if a and b reference the same object in memory, and it returns True.a == c: This statement checks if a and c contain the same elements, and it returns False because they are different objects.b == c: This statement checks if b and c contain the same elements, and it returns False because they reference different objects.a is c: This statement checks if a and c reference the same object in memory, and it returns True because they were created from the same list.
Based on this code, what should all the test cases be? def uniq(list): """ Returns unique values of a list """ u_list = [] for item in list: if item not in u_list: u_list.append(item) return u_list(select multiple)list with one element (any type)list with the same element twice (same type)list with more than 2 times the same element (same type)empty listlist with 2 different elements (same type)not a list argument (ex: passing a dictionary to the method)list with multiple types (integer, string, etc…)
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