using python, please don't use pandas , TAKE YOU TIME SOLVING THIS IT'S OK part of the database because it is too long iso code continent location date total cases new cases total deaths new deaths total cases per million new cases per million total deaths per million new deaths per million population median age aged 65 older aged 70 older cardiovasc death rate diabetes prevalence hospital beds per thousand DZA Africa Algeria 1 6 20 0 0 0 0 0 0 0 0 43851043 29 1 6 211 3 857 278 364 6 73 1 9 DZA Africa Algeria 1 7 20 0 0 0 0 0 0 0 0 43851043 29 1 6 211 3 857 278 364 6 73 1 9 DZA Africa Algeria 1 8 20 0 0 0 0 0 0 0 0 43851043 29 1 6 211 3 857 278 364 6 73 1 9 A csv file of COVID 19 cases in each county is provided You are prompted to write the following Python functions First, open the csv file by e, g , Excel Editor and explore its contents This allows you to have a detailed view of the different information collected by the World Health Organization on COVID 19 in each country during the year 2020 Functions getDayMonthYear( ) Returns (day, month, year) from date string casesByContinent Returns a dictionary

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Question: using python, please don't use pandas , TAKE YOU TIME SOLVING THIS IT'S OK part of the database because it is too long : iso_code

using python, please don't use pandas , TAKE YOU TIME SOLVING THIS IT'S OK

using python, please don't use pandas , TAKE YOU TIME SOLVING THIS

IT'S OK part of the database because it is too long :

part of the database because it is too long :

iso_code	continent	location	date	total_cases	new_cases	total_deaths	new_deaths	total_cases_per_million	new_cases_per_million	total_deaths_per_million	new_deaths_per_million	population	median_age	aged_65_older	aged_70_older	cardiovasc_death_rate	diabetes_prevalence	hospital_beds_per_thousand
DZA	Africa	Algeria	1/6/20	0	0	0	0	0	0	0	0	43851043	29.1	6.211	3.857	278.364	6.73	1.9
DZA	Africa	Algeria	1/7/20	0	0	0	0	0	0	0	0	43851043	29.1	6.211	3.857	278.364	6.73	1.9
DZA	Africa	Algeria	1/8/20	0	0	0	0	0	0	0	0	43851043	29.1	6.211	3.857	278.364	6.73	1.9

A csv file of COVID 19 cases in each county is provided. You are prompted to write the following Python functions. First, open the csv file by e, g., Excel Editor and explore its contents. This allows you to have a detailed view of the different information collected by the World Health Organization on COVID 19 in each country during the year 2020. Functions: getDayMonthYear(...) Returns (day, month, year) from date string casesByContinent Returns a dictionary

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