2d python list for a lottery program

The task is to solve a Python question that involves working with a 2D Python list for a lottery program. We will explore different ways to solve this problem and evaluate which option is better.

Option 1: Using Nested Loops


# Sample Input
lottery_numbers = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]

# Solution
for row in lottery_numbers:
    for number in row:
        print(number)

This solution uses nested loops to iterate over each element in the 2D list. It first iterates over each row and then iterates over each number in the row. The numbers are then printed as output.

Option 2: Using List Comprehension


# Sample Input
lottery_numbers = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]

# Solution
numbers = [number for row in lottery_numbers for number in row]
print(numbers)

This solution utilizes list comprehension to flatten the 2D list into a single list of numbers. It iterates over each row and then each number in the row, creating a new list with all the numbers. The resulting list is then printed as output.

Option 3: Using itertools.chain()


# Sample Input
import itertools

lottery_numbers = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]

# Solution
numbers = list(itertools.chain(*lottery_numbers))
print(numbers)

This solution utilizes the itertools.chain() function to flatten the 2D list into a single list of numbers. It takes each row as an argument and concatenates them into a single iterable. The resulting iterable is then converted into a list and printed as output.

After evaluating the three options, it can be concluded that Option 2: Using List Comprehension is the better solution. It provides a concise and readable code that achieves the desired result. Additionally, list comprehension is a powerful feature in Python that allows for efficient and elegant solutions to many problems.

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6 Responses

  1. Option 1 seems like a classic approach, but Option 3 with itertools.chain() sounds intriguing. Thoughts?

    1. I couldnt disagree more. Option 1 with traditional loops is more readable and easier to understand, especially for beginners. List comprehension can be a nightmare to debug. Lets not complicate things unnecessarily. #KeepItSimple

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