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# Could someone explain this code step by step? I am getting confused how she gets there:

def calculate_sum_succinct(data_sample): prices = [float(row[2]) for row in data_sample[1:]] # don't understand this line return sum(prices)

It's always helpful if you include a link to the video or challenge you are referring to.

let's try to understand piece by piece (I modify the code to make it easier to understand the logic):

```data_sample = [(1, 2, 3, 5, 12), (4.4, 5.5, 6, 7),
(0, 2.4, 6.5, 7.6), (21, 43, 25, 78)]

prices = []

for row in data_sample[1:]:  # get a subset of a list, removing the first element: (1, 2, 3, 5, 12)
prices.append(row[2])  # from the new list, add the third element: row[2]

print(prices)
# result: [6, 6.5, 25]

print(sum(prices))
# result: 37.5
```

Now, it is easier to understand what was done, the code is similar to the previous one, only it was used a feature called "list comprehensions":

```def calculate_sum_succinct(data_sample):
prices = [float(row[2]) for row in data_sample[1:]]  # is the same loop above, but using 'list comprehensions'
return sum(prices)

data_sample = [(1, 2, 3, 5, 12), (4.4, 5.5, 6, 7),
(0, 2.4, 6.5, 7.6), (21, 43, 25, 78)]

result = calculate_sum_succinct(data_sample)

print(result)
# result: 37.5
```