###### Finding the Sum of Elements in a List Using List Comprehension in Python

List comprehension is a concise way to create lists in Python, and it can also be used to compute the sum of elements in a list by combining it with the built-in *sum()* function. Here’s how to achieve that.
###### Basic Sum Calculation

The simplest method to find the sum of elements in a list is to use the built-in *sum()* function directly on the list. However, when you want to apply some condition or transformation to the elements before summing them, list comprehension becomes particularly useful.
###### Example Scenario

Assume you have a list of numbers, and you want to calculate the sum of the squares of these numbers. Here's how you can do this with list comprehension.
###### Step-by-Step Guide

1. **Define Your List**: Start with a list of numbers.
2. **Create a List Comprehension**: Use the list comprehension to apply the desired operation (in this case, squaring the numbers).
3. **Use the Sum Function**: Pass the result of the list comprehension to the *sum()* function.
###### Example Code

# Step 1: Define a list of numbers
numbers = [1, 2, 3, 4, 5]
# Step 2 and 3: Calculate the sum of squares using list comprehension
sum_of_squares = sum([x**2 for x in numbers])
# Output the result
print("Sum of squares:", sum_of_squares)

###### Explanation of the Code

- *numbers*: A list containing the integers from 1 to 5.
- *[x**2 for x in numbers]*: A list comprehension that creates a new list containing the squares of each element in the original *numbers* list.
- *sum(...)*: The *sum()* function calculates the total of the list generated by the list comprehension.
###### Output

The output of the above code will be:
Sum of squares: 55

###### Conclusion

Using list comprehension in combination with the *sum()* function allows for efficient and readable code when calculating sums in Python. This method is particularly useful when transformations or filters must be applied to list elements before summation.