a. Dictionary elements can be accessed using position-based index.
Answer
False
b. Dictionaries are immutable.
Answer
False
c. Insertion order is preserved by a dictionary.
Answer
False
d. The very first key - value pair in a dictionary d can be accessed using the
expression d[0].
Answer
False
e. courses.clear( ) will delete the dictionary object called courses.
Answer
False
f. It is possible to nest dictionaries.
Answer
True
g. It is possible to hold multiple values against a key in a dictionary.
Answer
True
Let's go through each statement one by one:
a. Dictionary elements can be accessed using position-based index.
Answer: False
Explanation: Dictionary elements are accessed using keys, not position-based indices. You use the key to retrieve the associated value.
b. Dictionaries are immutable.
Answer: False
Explanation: Dictionaries are mutable, meaning you can modify their content by adding, removing, or updating key-value pairs.
c. Insertion order is preserved by a dictionary.
Answer: False
Explanation: Prior to Python 3.7, dictionaries did not guarantee order preservation. However, starting from Python 3.7, the insertion order is guaranteed to be preserved.
d. The very first key-value pair in a dictionary d can be accessed using the expression d[0].
Answer: False
Explanation: Dictionary elements are not accessed by numerical indices but by keys. There is no guarantee that the keys are numerical, so attempting to access d[0] would not necessarily give you the first key-value pair.
e. courses.clear() will delete the dictionary object called courses.
Answer: False
Explanation: courses.clear() will remove all items from the dictionary called courses, but the dictionary object itself still exists.
f. It is possible to nest dictionaries.
Answer: True
Explanation: Yes, it is possible to have dictionaries as values within another dictionary, creating nested or hierarchical structures.
g. It is possible to hold multiple values against a key in a dictionary.
Answer: True
Explanation: Yes, a key in a dictionary can have a list, tuple, set, or another dictionary as its associated value, allowing you to store multiple values against a single key.
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