This technical problem deals with finding the sum of odd numbers in a list. The input is a list of integers, and the output is the sum of the odd numbers in the list.
About this solution: The candidate's solution correctly returns the sum of the odd numbers in the list. The approach is straightforward and easy to follow.
The function should take a list of integers as input and return the sum of the even integers in the list.
About this solution: This solution is optimal because it uses a generator expression to filter the list and sum the even numbers. This is optimal because it is a single pass through the list, and it does not require any additional memory. It is also very readable.
This Python function finds the sum of all the integers in a given list.
About this solution: This solution correctly finds the sum of all integers in a list. However, it is not very robust - for example, it would not work if the input list contained non-integer values. A more robust solution would check the data type of each list element before performing the summation.
This Python function finds the largest number in a given list of integers. For example, if the input list is [1, 2, 3, 4, 5], the output will be 5 .
About this solution: The candidate's solution correctly finds the largest number in the list. The candidate could have used the built-in max() function to find the largest number in the list.
This technical problem involves writing a function that takes a list of integers as input and returns the sum of the odd numbers in the list. An example input and output are provided in the problem statement .
About this solution: This solution correctly returns the sum of all odd numbers in the given list. However, it is not the most efficient solution as it loops through the entire list regardless of whether or not there are any odd numbers present. A more efficient solution would check if there are any odd numbers in the list before looping through it.
This technical problem deals with adding elements in an array in Python. Given an array of integers, the goal is to return the sum of the elements in the array. An example input would be [1, 2, 3] and the corresponding output would be 6.
About this solution: The candidate's solution is correct and uses the built-in sum function, which has a time complexity of O(n).