List Comprehension Quiz: Test Your Python Skills

📚 Quick Study Guide

🔍 Definition: List comprehension offers a concise way to create lists in Python. 💡 Syntax: [expression for item in iterable if condition == True] 📝 Expression: The operation performed on each item. 🧮 Iterable: The sequence (list, tuple, string, range) to iterate over. 🔑 Condition (Optional): Filters items based on a boolean expression. 🚀 Benefits: More readable and often faster than traditional loops for simple list creation. 🐍 Example: squares = [x*x for x in range(10)] creates a list of squares from 0 to 9.

🧪 Practice Quiz

1. What is the output of the following list comprehension? [x for x in range(5) if x % 2 == 0]
   1. [1, 3]
   2. [0, 2, 4]
   3. [0, 1, 2, 3, 4]
   4. [2, 4]
2. Which of the following is the correct syntax for a list comprehension?
   1. (expression for item in list)
   2. {expression for item in list}
   3. [expression for item in list]
   4. expression for item in list
3. What will be the content of new_list after executing this code? numbers = [1, 2, 3, 4, 5] new_list = [num * 2 for num in numbers]
   1. [1, 2, 3, 4, 5]
   2. [2, 4, 6, 8, 10]
   3. [1, 4, 9, 16, 25]
   4. [2, 4, 6]
4. What is the purpose of the if condition in a list comprehension?
   1. To specify the expression to be evaluated.
   2. To iterate over the list.
   3. To filter elements based on a condition.
   4. To define the output list.
5. Consider the following list comprehension: [x.upper() for x in ['hello', 'world']]. What is the output?
   1. ['hello', 'world']
   2. ['Hello', 'World']
   3. ['HELLO', 'WORLD']
   4. ['hELLO', 'wORLD']
6. Which of the following is NOT an advantage of using list comprehension?
   1. More concise code.
   2. Potentially faster execution.
   3. Easier debugging.
   4. More readable code for simple operations.
7. What will be the output of this list comprehension? [x for x in range(10) if x > 5]
   1. [0, 1, 2, 3, 4]
   2. [6, 7, 8, 9]
   3. [5, 6, 7, 8, 9]
   4. [ ]