Question: Labo - Python Review The purpose of this lab is to use the following features in your code: Default Dictionary Named Tuple Comprehensions Generators Iterators

 Labo - Python Review The purpose of this lab is touse the following features in your code: Default Dictionary Named Tuple Comprehensions

Labo - Python Review The purpose of this lab is to use the following features in your code: Default Dictionary Named Tuple Comprehensions Generators Iterators * Lambda expressions Maps Regular expressions These topics should have been covered in your previous Python coursework. Please clearly mark where you use these features in your code. Don't worry if you haven't had one or more of these topics as we will be covering them in class before the lab assignment is due. Specification: Write a Python application that displays the Earths temperature as related to the Carbon emissions. Display the yearly carbon emission and global annual temperature for the years where the data overlaps. Carbon Emmission.py A class to handle the carbon emmission data CarbonEmmission.py * A class to handle the carbon emmission data AnnualTemperature.py * A class to handle the global annual temperature data Database.py * Stores the CarbonEmmission and Annual Temperature data * Use NamedTuples and DefaultDictionaries to store the data Interface.py Reads and stores the data Uses data processing functions in the Process.py Outputs the processed data * * * Process.py * Design a set of classes/functions process the data * Store the data in a Default Dictionary for both the CO2 and Temperature data. * Note: The + or - on the data indicate the temperature difference from the base average between 1960 and 1990. The base average is not given. Input Files: Co2.html - Monthly CO2 carbon emissions from 1959 to 2018. Accumulate the average monthly CO2 emission values into one yearly value. Temperature.html - Annual global Temperatures from 1858 to 2018. Labo - Python Review The purpose of this lab is to use the following features in your code: Default Dictionary Named Tuple Comprehensions Generators Iterators * Lambda expressions Maps Regular expressions These topics should have been covered in your previous Python coursework. Please clearly mark where you use these features in your code. Don't worry if you haven't had one or more of these topics as we will be covering them in class before the lab assignment is due. Specification: Write a Python application that displays the Earths temperature as related to the Carbon emissions. Display the yearly carbon emission and global annual temperature for the years where the data overlaps. Carbon Emmission.py A class to handle the carbon emmission data CarbonEmmission.py * A class to handle the carbon emmission data AnnualTemperature.py * A class to handle the global annual temperature data Database.py * Stores the CarbonEmmission and Annual Temperature data * Use NamedTuples and DefaultDictionaries to store the data Interface.py Reads and stores the data Uses data processing functions in the Process.py Outputs the processed data * * * Process.py * Design a set of classes/functions process the data * Store the data in a Default Dictionary for both the CO2 and Temperature data. * Note: The + or - on the data indicate the temperature difference from the base average between 1960 and 1990. The base average is not given. Input Files: Co2.html - Monthly CO2 carbon emissions from 1959 to 2018. Accumulate the average monthly CO2 emission values into one yearly value. Temperature.html - Annual global Temperatures from 1858 to 2018

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