🧪 Python List Exercises – Practice Problems with Solutions
🧲 Introduction – Why Practice List Exercises?
Lists are one of the most versatile and widely used data structures in Python. They appear in loops, functions, user inputs, and algorithm problems. Practicing list exercises helps reinforce your understanding of Python syntax, logic-building, and real-world applications.
🎯 In this guide, you’ll solve:
- Basic list creation and access problems
- Element updates, filtering, and sorting challenges
- Advanced tasks like nested list processing and list comprehensions
- Real-world scenarios for interviews and automation
🔁 Basic List Exercises
✅ 1. Create a List of Integers from 1 to 10
nums = list(range(1, 11))
print(nums)
Explanation:
range(1, 11)generates numbers from 1 to 10.list()converts the range into a list.- Output:
[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
✅ 2. Print the First and Last Element of a List
fruits = ["apple", "banana", "cherry", "orange"]
print(fruits[0])
print(fruits[-1])
Explanation:
fruits[0]accesses the first item.fruits[-1]accesses the last item using negative indexing.
✅ 3. Add an Item to the List
fruits.append("grape")
print(fruits)
Explanation:
append("grape")adds"grape"to the end of the list.
🔁 Intermediate List Exercises
✅ 4. Remove All Odd Numbers from a List
nums = [1, 2, 3, 4, 5, 6]
even_nums = [x for x in nums if x % 2 == 0]
print(even_nums)
Explanation:
- Uses list comprehension to filter only even numbers (
x % 2 == 0).
✅ 5. Sort a List of Strings Alphabetically
names = ["John", "Alice", "Bob"]
names.sort()
print(names)
Explanation:
sort()arranges the list in alphabetical order:['Alice', 'Bob', 'John'].
✅ 6. Join a List into a Sentence
words = ["Python", "is", "awesome"]
sentence = " ".join(words)
print(sentence)
Explanation:
join()combines list elements with a space separator.
🔁 Advanced List Challenges
✅ 7. Find the Maximum and Minimum Values in a List
values = [12, 45, 23, 67, 34]
print(max(values))
print(min(values))
Explanation:
max()returns the largest value,min()returns the smallest.
✅ 8. Remove Duplicates from a List
nums = [1, 2, 2, 3, 4, 4, 5]
unique_nums = list(set(nums))
print(unique_nums)
Explanation:
set(nums)removes duplicates.list(set(...))converts the set back to a list.
✅ 9. Reverse a List Without Using reverse()
nums = [1, 2, 3, 4]
reversed_nums = nums[::-1]
print(reversed_nums)
Explanation:
- Slicing with
[::-1]creates a reversed version of the list.
✅ 10. Flatten a Nested List
nested = [[1, 2], [3, 4], [5, 6]]
flat = [num for sublist in nested for num in sublist]
print(flat)
Explanation:
- Double list comprehension flattens the 2D list into
[1, 2, 3, 4, 5, 6].
💡 Best Practices
- ✅ Use list comprehensions for concise filtering and mapping.
- ✅ Avoid modifying a list while iterating—use copies or comprehensions.
- ✅ Use
copy()or slicing to clone lists safely. - ✅ Use
set()to remove duplicates, but remember it removes order.
📌 Summary – Recap & Next Steps
Python list exercises strengthen your ability to access, modify, filter, and transform data—all core tasks in real-world Python development and interviews.
🔍 Key Takeaways:
- ✅ Practice helps you master indexing, sorting, slicing, and comprehensions.
- ✅ Lists support dynamic changes: appending, deleting, joining, etc.
- ✅ List exercises simulate real-world problems like form validation, data cleanup, and UI processing.
⚙️ Real-World Relevance:
These skills are used in file processing, log parsing, web scraping, data science, and backend development—essential in every serious Python project.
❓ FAQ Section – Python List Exercises
❓ Why should I practice Python list exercises?
✅ To master one of the most fundamental and flexible data structures in Python, used in nearly every type of application.
❓ How do I remove duplicates from a list?
✅ Convert it to a set and back to a list:
unique = list(set(my_list))
❓ What’s the best way to filter a list?
✅ Use a list comprehension:
[x for x in my_list if condition]
❓ How do I flatten a nested list?
✅ Use nested list comprehension:
[item for sublist in nested for item in sublist]
❓ Are list comprehensions better than loops?
✅ Yes—for short, readable operations. But use regular loops when logic gets too complex.
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