please help with the following computer science question. The following problem is to be coded in Python:

Refer to MDBALTIM.txt for the data which can be found here through this link: http://academic.udayton.edu/kissock/http/Weather/gsod95-current/MDBALTIM.txt

Make a plot of temperature vs. day for the entire data range (You can just count days forward from Jan. 1 1995). Some of the temperatures are an exceedingly low value. Assume that this is an indication of error and omit it from your plot. Store the data in a dictionary where the key is the year and the value is a list of temperatures (in chronological order for that ycar). On one figure, plot 1995, 2005, and 2015. Use thick lines with an alpha of 0.4 or so (to see overlap) and include a legend. Is it apparent to the naked eye that the years differ significantly? Check your answer to step 2 by running a 2-sample Kolmogorov-Smirnov test for the data from 1995 and 2015. Print the p-value to the console. Does this suggest a significant change? Make a plot of temperature vs. day for the entire data range (You can just count days forward from Jan. 1 1995). Some of the temperatures are an exceedingly low value. Assume that this is an indication of error and omit it from your plot. Store the data in a dictionary where the key is the year and the value is a list of temperatures (in chronological order for that ycar). On one figure, plot 1995, 2005, and 2015. Use thick lines with an alpha of 0.4 or so (to see overlap) and include a legend. Is it apparent to the naked eye that the years differ significantly? Check your answer to step 2 by running a 2-sample Kolmogorov-Smirnov test for the data from 1995 and 2015. Print the p-value to the console. Does this suggest a significant change