Data Science and Machine Learning (Theory and Projects) A to Z - Data Structure (List, Tuple, Set, Dictionary): Introduc

The video tutorial provides an overview of basic data structures in Python, including lists, tuples, sets, and dictionaries. It explains the characteristics of each structure, such as mutability, order, and the ability to hold heterogeneous data types. The tutorial compares these structures and highlights their applications, emphasizing the power of dictionaries in data management. It also introduces the concept of using libraries like Numpy and Pandas for more efficient data handling.

Which of the following is NOT a basic data structure in Python?

• Tuple

• Dictionary

• List

• Array

What is a key characteristic of Python's data structures?

• They can only store integers.

• They are all immutable.

• They do not allow duplicates.

• They can store heterogeneous data types.

Which of the following statements about lists is true?

• Lists are immutable.

• Lists do not allow duplicates.

• Lists are ordered and mutable.

• Lists are unordered.

How does a tuple differ from a list?

• Tuples are mutable.

• Tuples are unordered.

• Tuples do not allow duplicates.

• Tuples are immutable.

What is a unique feature of sets in Python?

• They allow duplicates.

• They are ordered.

• They are immutable.

• They do not allow duplicates.

In a dictionary, what is the term used for the first element of a pair?

• Item

• Index

• Key

• Value

Why are dictionaries considered powerful in data management?

• They store data in key-value pairs.

• They allow duplicate keys.

• They are immutable.

• They are ordered.