Challenge 1: List Comprehension
List comprehensions in Python provide an elegant and concise way to create lists. Their advantages are:
Readability and conciseness: List comprehensions allow you to reduce the amount of code , making it more readable and concise. Instead of using multiple lines of code with loops and conditional statements, you can get the same result in one line .
Performance: In many cases, list comprehensions are faster than traditional loops , especially when processing large amounts of data, which is key in Data Science.
Built-in filtering capabilities: These allow you to easily apply conditional expressions to filter data , which is especially useful when preprocessing and cleaning datasets.
Thus, list comprehensions are a powerful tool in the hands of a data scientist, allowing you to quickly and efficiently process and transform data.
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Given a list of numbers, write a Python function to square all even numbers in the list.
List [1, 2, 3, 4, 5]
should result into [4, 16]
.

Solution
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