- A: A fixed memory location to store constant values.
- B: A placeholder for storing data.
- C: A type of function that returns values.
- D: A method to perform mathematical operations.
Answer
#### Correct Answer -> B: A placeholder for storing data.
- A: By assigning a number directly to the variable.
- B: By enclosing the text in single or double quotes (e.g., name = "Alice").
- C: Using a dedicated string data type declaration.
- D: Using a container to store string data in your program.
Answer
#### Correct Answer -> B: By enclosing the text in single or double quotes (e.g., name = "Alice").
my_list = [1, 2, 3]
my_list[1] = 4
print(my_list[1])
- A: 1
- B: 2
- C: 3
- D: 4
Answer
#### Correct Answer -> D: 4
- A: By using a specific function to define the data type.
- B: There's no way to check the data type in Python.
- C: The data type is automatically determined at runtime.
- D: By using the type() function (e.g., print(type(variable_name))).
Answer
#### Correct Answer -> D: By using the type() function (e.g., print(type(variable_name))).
- A: There's no such distinction in Python.
- B: Mutable data types can be changed after creation, while immutable ones cannot.
- C: Mutable data types are faster for performance reasons.
- D: Immutable data types are used for storing user input.
Answer
#### Correct Answer -> B: Mutable data types can be changed after creation, while immutable ones cannot.
- A: There's no built-in way to do this directly.
- B: Use a loop to split the string and convert each element to an integer.
- C: Use the split() method on the string and then int() on each element to create a list of integers.
- D: None of this.
Answer
#### Correct Answer -> C: Use the split() method on the string and then int() on each element to create a list of integers.
- A: You cannot modify elements while iterating in Python.
- B: You need to create a separate loop for modification.
- C: Use a for i in range(len(list)) loop to access indices and modify elements.
- D: Use a for element in list loop. This iterates directly over the elements, allowing in-place modification.
Answer
#### Correct Answer -> D: Use a for element in list loop. This iterates directly over the elements, allowing in-place modification.
- A: The element is automatically created at that index.
- B: The code silently ignores the out-of-range access.
- C: You will get an IndexError exception.
- D: The program crashes.
Answer
#### Correct Answer -> C: You will get an IndexError exception.
- A: Type hinting is a way to force specific data types during variable declaration (not enforced).
- B: Type hinting is a way to provide optional type annotations for variables and function arguments, improving code readability and potential static type checking with external tools.
- C: It's a mandatory requirement for Python programs.
- D: It allows for faster code execution.
Answer
#### Correct Answer -> B: Type hinting is a way to provide optional type annotations for variables and function arguments, improving code readability and potential static type checking with external tools.
10. How can you deep copy a nested data structure (list of dictionaries) in Python to avoid unintended modifications? 🔁
- A: Copying the reference is sufficient, as changes won't affect the original.
- B: Use a loop to manually copy each element and create a new structure.
- C: There's no built-in way to achieve a deep copy.
- D: Use the copy module's deepcopy() function to create a new, independent copy of the entire nested structure.
Answer
#### Correct Answer -> D: Use the copy module's deepcopy() function to create a new, independent copy of the entire nested structure.
11. How can you convert a string representation of a number (e.g., "123") to an actual integer in Python? 🔢
- A: number = "123"
- B: number = int("123")
- C: number = number + 0
- D: number = number('123')
Answer
#### Correct Answer -> B: number = int("123")
a = 10
b = 3.14
c = a + b
print(type(c))
- A: <class 'int'>
- B: <class 'float'>
- C: <class 'str'>
- D: <class 'complex'>
Answer
#### Correct Answer -> B:
- A: Tuples are mutable, while lists are immutable.
- B: Lists are mutable, while tuples are immutable.
- C: There is no difference; they are the same.
- D: Lists are faster than tuples for large data sets.
Answer
#### Correct Answer -> B: Lists are mutable, while tuples are immutable.
14. How would you handle a case where a variable contains a string, and you want to ensure that it is always in lowercase? 🔤
- A: Use the .lower() method.
- B: Use the .upper() method.
- C: Manually change the case of each character in the string.
- D: You can't change the case of a string in Python.
Answer
#### Correct Answer -> A: Use the .lower() method.
15. Which of the following is the correct way to create a variable that holds a floating-point number? 💲
- A: num = 10
- B: num = 10.5
- C: num = "10.5"
- D: num = [10.5]
Answer
#### Correct Answer -> B: num = 10.5
- A: The
is
operator compares the values of two variables, while==
compares their identity. - B: The
is
operator compares the identity of two variables, while==
compares their values. - C: Both operators are identical in their functionality.
- D: The
is
operator is used only with immutable types.
Answer
#### Correct Answer -> B: The `is` operator compares the identity of two variables, while `==` compares their values.
x = 10
def foo():
global x
x += 5
return x
foo()
print(x)
- A: 10
- B: 5
C: 15
- D: Error
Answer
#### Correct Answer -> C: 15
- A: Use
None
as a default argument value and check within the function. - B: Always pass a mutable object to the function.
- C: Assign a default value to mutable arguments before calling the function.
- D: There is no way to avoid this issue.
Answer
#### Correct Answer -> A: Use `None` as a default argument value and check within the function.
a = [1, 2, 3]
b = a
a.append(4)
print(b)
- A: [1, 2, 3]
- B: [1, 2, 3, 4]
- C: [4, 2, 3]
- D: Error
Answer
#### Correct Answer -> B: [1, 2, 3, 4]
- A: Python uses a garbage collector to automatically manage memory allocation and deallocation.
- B: Python developers must manually manage memory using malloc/free functions.
- C: Python uses stack-based memory management only.
- D: Python does not have memory management.
Answer
#### Correct Answer -> A: Python uses a garbage collector to automatically manage memory allocation and deallocation.
Good luck with your answers! 🍀