10 Examples of Python List Comprehension You Need to Know

Python is a high-level programming language that is known for its simplicity, ease of use, and versatility. One of the most powerful features of Python is List Comprehension. Python List Comprehension allows users to create new lists based on existing lists in a concise and efficient way. Here are 10 examples of Python List Comprehension that every programmer should know:

1. Creating a list of even numbers from 0 to 10 using List Comprehension:

even_numbers = [x for x in range(11) if x % 2 == 0]

2. Creating a list of odd numbers from 0 to 10 using List Comprehension:

odd_numbers = [x for x in range(11) if x % 2 != 0]

3. Creating a list of squares of even numbers from 0 to 10 using List Comprehension:

squares_of_even = [x**2 for x in range(11) if x % 2 == 0]

4. Creating a list of cubes of odd numbers from 0 to 10 using List Comprehension:

cubes_of_odd = [x**3 for x in range(11) if x % 2 != 0]

5. Creating a list of uppercase characters from a string using List Comprehension:

str = “Hello World”
uppercase_chars = [x for x in str if x.isupper()]

6. Creating a list of lowercase characters from a string using List Comprehension:

str = “Hello World”
lowercase_chars = [x for x in str if x.islower()]

7. Creating a list of words that start with a vowel from a sentence using List Comprehension:

sentence = “The quick brown fox jumps over the lazy dog”
vowel_words = [x for x in sentence.split() if x[0] in “aeiouAEIOU”]

8. Creating a list of tuples from two lists using List Comprehension:

list1 = [1, 2, 3]
list2 = [‘a’, ‘b’, ‘c’]
tuples = [(x, y) for x in list1 for y in list2]

9. Creating a list of unique characters from a string using List Comprehension:

str = “Hello World”
unique_chars = list(set([x for x in str]))

10. Creating a list of even numbers from a list of integers using List Comprehension:

nums = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
even_nums = [x for x in nums if x % 2 == 0]

In conclusion, Python List Comprehension is an essential feature of the language that can make the code concise and efficient. The examples mentioned above show how List Comprehension can be used to create new lists based on existing ones with different conditions and transformations. By using List Comprehension, programmers can write less code and achieve the same results faster.