How to optimize python code?

Question

Python

There is a list of daily temperatures T. For each day in the input, you need to determine how many days you have to wait for a warmer temperature. If there is no warmer temperature in the following days, the number of days will be 0.

Input:
T - list of daily temperatures, temperature values ​​from 30 to 100
Output:
array with the number of days

Example:
T = [73, 74, 75, 71, 69, 72, 76, 73]
daysNumber( T ) --> [1, 1, 4, 2, 1, 1, 0, 0]
Implement the daily_temperatures function

t = [73, 74, 75, 71, 69, 72, 76, 73]


def daily_temperatures(lst):
    list_count = []
    for start_index in range(len(lst)):
        count = 0
        for letter in range(start_index + 1, len(lst)):
            if lst[letter] > lst[start_index]:
                count += 1
                list_count.append(letter - start_index)
                break
        if count == 0:
            list_count.append(0)
    return list_count


daily_temperatures(t)

Actually, how to optimize it?

Answer 1

days = []

for ind, temp in enumerate(t):
     temp_greater = next(((i, val) for i, val in enumerate(t[ind+1:], ind+1) if val > temp), 0)
     day = temp_greater[0]-ind if temp_greater else 0
     days.append(day)

Answer 2

One of the options "on the forehead" (without using additional functions like takewhile):

def days_till_warming(T):
    counts = []
    for i, curr_temp in enumerate(T):
        for j, next_temp in enumerate(T[i+1:], i + 1):
            if next_temp > curr_temp:
                delta = j - i
                break
        else:
             delta = 0
        counts.append(delta)
    return counts