Hi$,$ can you solve it using python, please?

The pressure of the atmosphere $($p$)$ decreases with altitude $($h$).$ At sea level, the average atmospheric

pressure is $1\mathrm{.}033227.$ The table shows the values of $p$ at various heights in kilometers $(Km)$ :

To fit the data, it is proposed to use the linear model and the exponential model.

Use least squares to determine the linear model $y=Ax+B$ that corresponds to the values in

the table.

Use least squares to determine the exponential model $y=C{e}^{Ax}$ that corresponds to the

values in the table.

Determine the model that best fits the data using the mean squared error. Explicitly indicate the

values of this error.

Using the best fit, determine the value of the atmospheric pressure at an altitude of $13$

kilometers.