Output:
[20, 40, 60]
 

First, filter() keeps only even numbers.

Then, map() multiplies each by 10.

🔹 11. Common Mistakes

❌ Forgetting to Convert map() to a List 
result = map(lambda x: x * 2, numbers)
→
<map object at ...>
 

Correct:
print(list(result))
❌ Forgetting to Import reduce()
result = reduce(lambda a, b: a + b, [1, 2, 3])
→
NameError
 

Correct:
from functools import reduce
🎯 Practice Questions 

1. Create a lambda function that returns the cube of a number. 

2. Use map() to convert a list of temperatures from Celsius to Fahrenheit. 

3. Use filter() to find numbers greater than 50. 

4. Use reduce() to calculate the product of a list of numbers. 

5. Combine filter() and map() to square only the odd numbers in a list.

🎯 Key Takeaways

✅ Lambda functions are short, anonymous functions.

✅ map() transforms every element in an iterable.

✅ filter() selects elements based on a condition.

✅ reduce() combines all elements into a single value.

✅ These functions are widely used for data transformation, preprocessing, and feature engineering in Data Science.


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