Suppose we download all the hourly data from the San Diego International Airport weather station for the month of September $2023.$ To analyze the data, we want to know when each reading was taken, but we find that the data doesn't include the timestamps of the readings $($the time at which each one was taken$).$

However, we know the first reading was taken at the first instant of September $2023($midnight on September $1$st$)$ and each subsequent reading was taken exactly $1$ hour after the last.

Question $1\mathrm{.}1\mathrm{.}5.$ Create an array of the time, in seconds, since the start of the month at which each hourly reading was taken. Name it collection$\_$times.

Hints:

There are $30$ days in September, which is equivalent to $(30\backslash$times $24$

$)$ hours or $(30\backslash$times $24\backslash$times $60\backslash$times $60$

$)$ seconds.

The len function works on arrays, too. If your collection$\_$times isn't passing the tests, check its length and make sure it has $30\backslash$times $24$

elements, since readings are taken hourly for $30$ days.