Merge pull request mouredev#3954 from Mauricio-Leyva/main

#22 - Python

Author: Roswell468

Roadmap/22 - FUNCIONES DE ORDEN SUPERIOR/python/Mauricio-Leyva.py

@@ -0,0 +1,93 @@
+"""
+EJERCICIO:
+funciones de orden superior
+"""
+
+# Ejemplo 1: Funciones como argumentos
+def apply_function(func, value):
+    return func(value)
+
+def square(x):
+    return x * x
+
+def double(x):
+    return x * 2
+
+result_square = apply_function(square, 5)
+result_double = apply_function(double, 5)
+
+print(f"apply_function(square, 5) = {result_square}")  
+print(f"apply_function(double, 5) = {result_double}")
+
+# Ejemplo 2: Funciones que retornan otras funciones
+def create_multiplier(multiplier):
+    def multiplier_function(x):
+        return x * multiplier
+    return multiplier_function
+
+double = create_multiplier(2)
+triple = create_multiplier(3)
+
+print(f"double(5) = {double(5)}")  # Salida: 10
+print(f"triple(5) = {triple(5)}")  # Salida: 15
+
+#Ejemplo 3: Usando map, filter y reduce
+from functools import reduce
+
+numbers = [1, 2, 3, 4, 5]
+squared_numbers = list(map(lambda x: x ** 2, numbers))
+print(f"map(lambda x: x ** 2, numbers) = {squared_numbers}")  
+
+even_numbers = list(filter(lambda x: x % 2 == 0, numbers))
+print(f"filter(lambda x: x % 2 == 0, numbers) = {even_numbers}")  
+
+product = reduce(lambda x, y: x * y, numbers)
+print(f"reduce(lambda x, y: x * y, numbers) = {product}")  
+
+
+"""
+Extra:
+"""
+from datetime import datetime
+from functools import reduce
+
+students = [
+    {"name": "Ana", "dob": "2005-04-23", "grades": [8.5, 9.0, 7.5]},
+    {"name": "Carlos", "dob": "2004-07-15", "grades": [9.5, 9.0, 8.5]},
+    {"name": "Beatriz", "dob": "2006-01-10", "grades": [6.0, 7.5, 8.0]},
+    {"name": "David", "dob": "2003-12-11", "grades": [7.0, 6.5, 6.0]},
+    {"name": "Elena", "dob": "2005-10-29", "grades": [10.0, 9.5, 9.0]},
+]
+
+# 1. Promedio calificaciones
+def calculate_average(grades):
+    return sum(grades) / len(grades)
+
+average_grades = list(map(lambda student: {"name": student["name"], "average": calculate_average(student["grades"])}, students))
+
+print("Promedio de calificaciones:")
+for student in average_grades:
+    print(f"{student['name']}: {student['average']:.2f}")
+
+# 2. Mejores estudiantes
+top_students = list(filter(lambda student: calculate_average(student["grades"]) >= 9, students))
+top_students_names = list(map(lambda student: student["name"], top_students))
+
+print("Mejores estudiantes:")
+print(top_students_names)
+
+# 3. Nacimiento
+def parse_date(date_str):
+    return datetime.strptime(date_str, "%Y-%m-%d")
+
+sorted_students_by_age = sorted(students, key=lambda student: parse_date(student["dob"]), reverse=True)
+
+print("Estudiantes ordenados desde el más joven:")
+for student in sorted_students_by_age:
+    print(f"{student['name']} ({student['dob']})")
+
+# 4. Mayor calificación
+all_grades = reduce(lambda acc, student: acc + student["grades"], students, [])
+highest_grade = max(all_grades)
+
+print(f"La calificación más alta es: {highest_grade}")