Python Data Structures - Practice Questions 2026
Course Description
Mastering Python requires a deep understanding of its four pillar data structures: Lists, Tuples, Sets, and Dictionaries. Whether you are preparing for a technical interview, a certification, or building real-world applications, your ability to manipulate these structures efficiently is what separates a beginner from a professional. This course is designed to provide a rigorous, comprehensive testing environment to ensure you have no gaps in your knowledge.
Why Serious Learners Choose These Practice Exams
Serious learners understand that watching tutorials is not enough. To truly master Python, you must test your knowledge against edge cases and complex scenarios. These practice exams are crafted to challenge your logic, improve your debugging skills, and help you memorize syntax through active recall. By simulating a high-pressure exam environment, you will build the confidence needed to handle any Python programming task.
Course Structure
The course is divided into six progressive levels to ensure a smooth learning curve:
Basics / Foundations: This section focuses on the fundamental syntax, creation, and indexing of Lists, Tuples, Sets, and Dictionaries. It ensures you understand the basic "how-to" of each structure.
Core Concepts: Here, we dive into mutability vs. immutability, basic methods like .append(), .add(), and .update(), and understanding the uniqueness of Set elements versus List duplicates.
Intermediate Concepts: You will be tested on slicing, nesting data structures (e.g., a list of dictionaries), and common built-in functions like len(), sorted(), and zip().
Advanced Concepts: This level covers memory efficiency, time complexity (Big O) of different operations, dictionary comprehensions, and deep vs. shallow copying.
Real-world Scenarios: Practice questions based on actual coding problems, such as data cleaning, frequency counting, and organizing JSON-like data structures.
Mixed Revision / Final Test: A comprehensive final exam that mixes all topics to simulate a professional certification or a technical interview environment.
Sample Practice Questions
Question 1
What is the output of the following code snippet?
my_list = [1, 2, 3]
my_list.append([4, 5])
print(len(my_list))
Option 1: 3
Option 2: 4
Option 3: 5
Option 4: Error
Option 5: 2
Correct Answer: Option 2
Correct Answer Explanation: The append() method adds its argument as a single element at the end of the list. Here, the list [4, 5] is treated as one item. Therefore, the list becomes [1, 2, 3, [4, 5]], making the length 4.
Wrong Answers Explanation:
Option 1: Wrong because it assumes the append operation failed or didn't change the count.
Option 3: Wrong because it assumes the elements 4 and 5 were added individually (which is what extend() does).
Option 4: Wrong because appending a list to another list is a valid Python operation.
Option 5: Wrong as the length cannot decrease when adding items.
Question 2
Which of the following statements is true regarding Python Sets?
Option 1: Sets are ordered collections.
Option 2: Sets allow duplicate elements.
Option 3: Sets can be indexed using integers.
Option 4: Sets are written with curly brackets and contain unique elements.
Option 5: Sets are immutable.
Correct Answer: Option 4
Correct Answer Explanation: By definition, a Set is an unordered collection of items where every element is unique and must be hashable. They are defined using {}.
Wrong Answers Explanation:
Option 1: Wrong because Sets are unordered; they do not maintain the sequence of insertion.
Option 2: Wrong because Sets automatically remove any duplicate values.
Option 3: Wrong because Sets do not support indexing or slicing due to being unordered.
Option 5: Wrong because Sets themselves are mutable (you can add or remove items), though the elements within them must be immutable.
Welcome to the best practice exams to help you prepare for your Python Data Structures (List, Tuple, Set, Dict).
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