A python challenge from Lynda. Air temperature, barometric pressure and wind speed data will be retrieved from a web page and mean and median will be calculated for the given set of data.

lynda_challange_1.py

import urllib.request
import ssl
import statistics
def calculate_mean(d):
        x=statistics.mean(d['Air_temp'])
        y=statistics.mean(d['Barometric_press'])
        z=statistics.mean(d['Wind_Speed'])
        return x,y,z
def calculate_median(d):
        x=statistics.median(d['Air_temp'])
        y=statistics.median(d['Barometric_press'])
        z=statistics.median(d['Wind_Speed'])
        return x,y,z
def get_data(target):
        #bypassing certificate verification because of certificate problem on data provider website
        context=ssl._create_unverified_context()
        req=urllib.request.urlopen(target,context=context).read().decode(encoding='utf-8').split('\n')
        req.pop(0)
        datalist={'Date':[],'Time':[],'Air_temp':[],'Barometric_press':[],'Wind_Speed':[]}
        for line in req:
                elements=line.split()
                datalist['Date'].append(elements[0])
                datalist['Time'].append(elements[1])
                datalist['Air_temp'].append(float(elements[2]))
                datalist['Barometric_press'].append(float(elements[3]))
                datalist['Wind_Speed'].append(float(elements[8]))
        return datalist 
if __name__=='__main__':
        
        target="https://lpo.dt.navy.mil/data/DM/Environmental_Data_Deep_Moor_2015.txt" 
        data_list=get_data(target)
        k=calculate_mean(data_list)
        print("Calculated mean values for:\n")
        print("Air Temperature:{}, Barometric Pressure:{}, Wind Speed: {}".format(k[0],k[1],k[2]))
        r=calculate_median(data_list)
        print("Calculated median values for:\n")
        print("Air Temperature:{}, Barometric Pressure:{}, Wind Speed: {}".format(r[0],r[1],r[2]))