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Writing your own functions (5/5) | Functions
Learn Python from Scratch
course content

Contenido del Curso

Learn Python from Scratch

Learn Python from Scratch

1. The basics
2. Arithmetic operations
3. Common data types
4. Conditional statements
5. Other data types
6. Loops
7. Functions

Writing your own functions (5/5)

But what if in our examples we pass as country argument some inappropriate name or name which does not exist in our dictionary? Let's predict it with some conditional statements!

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# data countries_dict = {'USA': (9629091, 331002651), 'Canada': (9984670, 37742154), 'Germany': (357114, 83783942)} countries_dict["Brazil"] = (8515767, 212559417) countries_dict["India"] = (3166391, 1380004385) # modify our function def country_information_mod(d, name): if name not in d.keys(): print("There is no information about", name) else: print("Country:", name) print("Area:", d[name][0], 'sq km') print("Population:", round(d[name][1]/1000000, 2), 'mln') # test our function country_information_mod(countries_dict, "Ukraine") country_information_mod(countries_dict, "USA")
copy

Tarea

Modify your previous function (name new as people_information_mod) so now it will detect if the name is in the dictionary. If not, print "There is no information about name"

Tarea

Modify your previous function (name new as people_information_mod) so now it will detect if the name is in the dictionary. If not, print "There is no information about name"

Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones

¿Todo estuvo claro?

Sección 7. Capítulo 6
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Writing your own functions (5/5)

But what if in our examples we pass as country argument some inappropriate name or name which does not exist in our dictionary? Let's predict it with some conditional statements!

1234567891011121314151617
# data countries_dict = {'USA': (9629091, 331002651), 'Canada': (9984670, 37742154), 'Germany': (357114, 83783942)} countries_dict["Brazil"] = (8515767, 212559417) countries_dict["India"] = (3166391, 1380004385) # modify our function def country_information_mod(d, name): if name not in d.keys(): print("There is no information about", name) else: print("Country:", name) print("Area:", d[name][0], 'sq km') print("Population:", round(d[name][1]/1000000, 2), 'mln') # test our function country_information_mod(countries_dict, "Ukraine") country_information_mod(countries_dict, "USA")
copy

Tarea

Modify your previous function (name new as people_information_mod) so now it will detect if the name is in the dictionary. If not, print "There is no information about name"

Tarea

Modify your previous function (name new as people_information_mod) so now it will detect if the name is in the dictionary. If not, print "There is no information about name"

Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones

¿Todo estuvo claro?

Sección 7. Capítulo 6
toggle bottom row

Writing your own functions (5/5)

But what if in our examples we pass as country argument some inappropriate name or name which does not exist in our dictionary? Let's predict it with some conditional statements!

1234567891011121314151617
# data countries_dict = {'USA': (9629091, 331002651), 'Canada': (9984670, 37742154), 'Germany': (357114, 83783942)} countries_dict["Brazil"] = (8515767, 212559417) countries_dict["India"] = (3166391, 1380004385) # modify our function def country_information_mod(d, name): if name not in d.keys(): print("There is no information about", name) else: print("Country:", name) print("Area:", d[name][0], 'sq km') print("Population:", round(d[name][1]/1000000, 2), 'mln') # test our function country_information_mod(countries_dict, "Ukraine") country_information_mod(countries_dict, "USA")
copy

Tarea

Modify your previous function (name new as people_information_mod) so now it will detect if the name is in the dictionary. If not, print "There is no information about name"

Tarea

Modify your previous function (name new as people_information_mod) so now it will detect if the name is in the dictionary. If not, print "There is no information about name"

Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones

¿Todo estuvo claro?

But what if in our examples we pass as country argument some inappropriate name or name which does not exist in our dictionary? Let's predict it with some conditional statements!

1234567891011121314151617
# data countries_dict = {'USA': (9629091, 331002651), 'Canada': (9984670, 37742154), 'Germany': (357114, 83783942)} countries_dict["Brazil"] = (8515767, 212559417) countries_dict["India"] = (3166391, 1380004385) # modify our function def country_information_mod(d, name): if name not in d.keys(): print("There is no information about", name) else: print("Country:", name) print("Area:", d[name][0], 'sq km') print("Population:", round(d[name][1]/1000000, 2), 'mln') # test our function country_information_mod(countries_dict, "Ukraine") country_information_mod(countries_dict, "USA")
copy

Tarea

Modify your previous function (name new as people_information_mod) so now it will detect if the name is in the dictionary. If not, print "There is no information about name"

Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
Sección 7. Capítulo 6
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
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