List Introduction0%
List Introduction
Beginner8 min read•Updated: 2026-09-03
List Introduction
Lists are the most widely used collection data type in Python: ordered, mutable, and dynamic.
Key Concepts & Detailed Explanation
List characteristics:
- Ordered: Elements maintain their insertion sequence.
- Mutable: Elements can be added, modified, or removed in place.
- Heterogeneous: A single list can contain mixed data types (integers, strings, floats, even other lists).
- Zero-indexed: The first element is at index 0.
Code Examples & Output
Python
# Creating lists
numbers = [10, 20, 30, 40]
mixed = ["Sumit", 28, 4.9, True]
empty = []
print("Numbers list:", numbers)
print("Mixed types:", mixed)
print("Total elements:", len(numbers))
Expected Output:
Output
Numbers list: [10, 20, 30, 40]
Mixed types: ['Sumit', 28, 4.9, True]
Total elements: 4
Best Practices & Common Pitfalls
While Python lists allow mixed types, it is best practice to keep lists homogenous (all numbers or all strings).
Practice Quiz
1. Are Python lists mutable or immutable?
- A) Immutable
- B) Mutable
- C) Depends on elements
- D) Only mutable in Python 2
Answer: B
Explanation: Lists are mutable; you can change their contents in place.
2. Which brackets are used to define a list literal?
- A) ()
- B) {}
- C) []
- D) <>
Answer: C
Explanation: Square brackets [] define a list.
Practice Challenge
Create a list of your top 5 favorite programming topics and print the length and the middle element.
Next Lesson
Create & Access Lists
Continue learning with hands-on practice, examples, and exercises in the upcoming topic.
Related Lessons
| Previous Lesson | Next Lesson |
|---|---|
| Common Pitfalls | Create & Access Lists |
Practice Quiz
Test your understanding of this lesson with 1 questions. Each question has one correct answer.