130 lines
2.3 KiB
Python
130 lines
2.3 KiB
Python
"""
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01_compr_listas.py
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"""
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# Ejercicios: Nivel 1
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# 1. Filtra solo los números negativos y cero
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# en la lista usando una comprensión de lista.
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numbers = [-4, -3, -2, -1, 0, 2, 4, 6]
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filtered_numbers = [num for num in numbers if num <= 0]
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print(filtered_numbers)
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print("")
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# 2. Aplana la siguiente lista de listas de listas
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# a una lista unidimensional:
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list_of_lists = [
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[[1, 2, 3]],
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[[4, 5, 6]],
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[[7, 8, 9]]
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]
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flattened_list = [
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num for sublist in list_of_lists for subsublist in sublist for num in subsublist]
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print(flattened_list)
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print("")
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# 3. Usando una comprensión de lista,
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# crea la siguiente lista de tuplas:
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tuples_list = [
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(i, 1, i, i**2, i**3, i**4, i**5) for i in range(11)
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]
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for tpl in tuples_list:
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print(str(tpl).replace(", ", ","))
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print("")
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# 4. Aplana la siguiente lista
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# a una nueva lista:
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countries = [
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[
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('Finland', 'Helsinki')
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],
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[
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('Sweden', 'Stockholm')
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],
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[
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('Norway', 'Oslo')
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]
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]
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flattened_countries = [
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[
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country.upper(),
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country[:3].upper(),
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city.upper()
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]
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for sublist in countries for country,
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city in sublist
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]
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for sublist in flattened_countries:
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print(sublist)
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print("")
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# 5. Cambia la siguiente lista
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# a una lista de diccionarios:
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countries = [
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[('Finland', 'Helsinki')], [
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('Sweden', 'Stockholm')],
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[('Norway', 'Oslo')]
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]
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dict_list = [
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{'country': country, 'city': city}
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for sublist in countries for country,
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city in sublist
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]
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for dct in dict_list:
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print(dct)
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print("")
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# 6. Cambia la siguiente lista de listas
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# a una lista de cadenas concatenadas:
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names = [
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[('Asabeneh', 'Yetayeh')],
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[('David', 'Smith')],
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[('Donald', 'Trump')],
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[('Bill', 'Gates')]
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]
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concatenated_names = [' '.join(name) for sublist in names for name in sublist]
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print(concatenated_names)
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print("")
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# 7. Escribe una función lambda
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# que pueda resolver una pendiente
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# o una ordenada al origen de funciones lineales.
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# La función lambda toma dos argumentos: x y m, donde x es la variable independiente y m es la pendiente.
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# La función devuelve la ordenada al origen de la función lineal.
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def linear_function(x, m):
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return -m * x
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x = imn
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m = 2
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result = linear_function(x, m)
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print(
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f"Para x = {x} y m = {m}, el resultado de la función lineal es {result}.")
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