├── README.md ├── Capitulo4 ├── paises.pickle ├── r402_mover_archivo.py ├── paises.csv ├── sub_directorio │ └── paises2.csv ├── r405_crear_carpeta.py ├── r407_iterar_contenido_directorio.py ├── r401_copiar_archivo.py ├── r406_metadatos_directorio.py ├── r409_crear_archivo_zip.py ├── r404_leer_contenido_archivo_xml.py ├── r408_guardar_datos_como_objeto.py ├── r403_leer_contenido_archivo.py └── productos.xml ├── Capitulo7 ├── r703_agregar_campos_privados.py ├── r701_tipo_dato.py ├── r702_crear_una_clase.py ├── r708_polimofismo.py ├── r705_crear_un_objeto.py ├── r706_comparar_objetos.py └── r707_cambiar_estado_objeto.py ├── Capitulo3 ├── archivo.csv ├── r304_iterar_contenido_archivo.py ├── r301_iterar_contenido_lista.py ├── r303_filtrar_un_iterador.py ├── r305_iterar_data_sin_iterador.py ├── r306_itertools.py └── r302_extraer_contenido_iterador.py ├── Capitulo5 ├── r506_import_archivo_Excel.py ├── r501_crear_un_objeto_Series.py ├── r508_explorar_registros.py ├── r504_importar_archivo_CSV.py ├── r509_generar_estadisticas_DataFrame.py ├── r505_guardar_archivo_CSV.py ├── r510_ordenar_datos.py ├── r502_crear_un_dataframe.py ├── r503_crear_Panel.py ├── r507_guardar_archivo_Excel.py ├── r511_aplicar_funciones_por_fila_columna.py ├── r513_iterar_un_DataFrame.py └── r512_aplicar_funciones_elementos.py ├── Capitulo1 ├── r101_concatenar.py ├── r104_subcadenas.py ├── r112_codificar_unicode.py ├── r103_buscar_cadena.py ├── r108_cambiar_capitalizacion.py ├── r110_iterar_cadena.py ├── r113_mapear_caracteres.py ├── r107_remover_espacio_blanco.py ├── r111_estadisticas_cadena_caracteres.py ├── r201_crear_numeros_enteros.py ├── r105_reemplazar.py ├── r102_comparar.py └── r109_conversion_numeros.py ├── Capitulo2 ├── r209_formatear_fechas.py ├── r206_generar_numeros_aleatorios.py ├── r205_decimales_con_precision_arbitraria.py ├── r201_crear_numeros_enteros.py ├── r210_convertir_cadenas_en_fechas.py ├── r202_crear_numeros_reales.py ├── r207_obtener_hora_fecha.py ├── r203_redondear_reales_a_enteros.py ├── r204_formatear_numeros.py └── r208_diferencias_entre_horas_fechas.py ├── Capitulo9 ├── r901_crear_conexion_socket.py ├── r906_leer_contenido_pagina_web.py ├── r908_crear_servidor.py ├── r904_leer_email_con_imap.py ├── r907_obtener_datos_via_get.py ├── r905_enviar_correo.py ├── r903_leer_email_con_pop.py └── r902_enviar_datos_conexion_socket.py ├── Capitulo6 ├── r604_implementar_algoritmo_recursivo.py ├── r601_crear_una_funcion.py ├── r605_funciones_anonimas.py ├── r606_generar_funciones_especializadas.py ├── r603_valores_predeterminados_parametros.py └── r602_parametros_nombrados.py ├── Capitulo8 ├── r802_wraps.py ├── r801_funciones_decoradoras.py ├── r805_crear_metaclase.py ├── r803_obtener_funcion_decorada.py └── r804_aplicar_una_metaclase.py ├── r706_comparar_objetos.py ├── .gitignore └── LICENSE /README.md: -------------------------------------------------------------------------------- 1 | # Recetas-Python 2 | Recetas del lenguaje de programación Python 3 | -------------------------------------------------------------------------------- /Capitulo4/paises.pickle: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Fhernd/Recetas-Python/HEAD/Capitulo4/paises.pickle -------------------------------------------------------------------------------- /Capitulo7/r703_agregar_campos_privados.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta Python 7-3: Agregar campos privados. 3 | 4 | 5 | class ClaseDemo: 6 | __atributo_privado__ = 'valor' 7 | 8 | -------------------------------------------------------------------------------- /Capitulo4/r402_mover_archivo.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 4-2: Mover un archivo 3 | 4 | import shutil 5 | 6 | shutil.move('paises2.csv', 'sub_directorio', copy_function=shutil.copy) 7 | -------------------------------------------------------------------------------- /Capitulo4/paises.csv: -------------------------------------------------------------------------------- 1 | id,pais 2 | 1,Colombia 3 | 2,Argentina 4 | 3,Uruguay 5 | 4,Peru 6 | 5,Paraguay 7 | 6,Ecuador 8 | 7,Venezuela 9 | 8,Peru 10 | 9,Chile 11 | 10,Bolivia 12 | 11,Brazil -------------------------------------------------------------------------------- /Capitulo3/archivo.csv: -------------------------------------------------------------------------------- 1 | id,pais 2 | 1,Colombia 3 | 2,Argentina 4 | 3,Uruguay 5 | 4,Peru 6 | 5,Paraguay 7 | 6,Ecuador 8 | 7,Venezuela 9 | 8,Peru 10 | 9,Chile 11 | 10,Bolivia 12 | 11,Brazil -------------------------------------------------------------------------------- /Capitulo4/sub_directorio/paises2.csv: -------------------------------------------------------------------------------- 1 | id,pais 2 | 1,Colombia 3 | 2,Argentina 4 | 3,Uruguay 5 | 4,Peru 6 | 5,Paraguay 7 | 6,Ecuador 8 | 7,Venezuela 9 | 8,Peru 10 | 9,Chile 11 | 10,Bolivia 12 | 11,Brazil -------------------------------------------------------------------------------- /Capitulo5/r506_import_archivo_Excel.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 5-6: Importar archivo de Excel. 3 | 4 | import pandas as pd 5 | 6 | df = pd.read_excel('paises.xlsx', sheet_name='suramerica') 7 | 8 | print(df.head()) 9 | -------------------------------------------------------------------------------- /Capitulo1/r101_concatenar.py: -------------------------------------------------------------------------------- 1 | lenguaje = 'Python' 2 | version = 3 3 | 4 | print(type(lenguaje)) 5 | print(type(version)) 6 | 7 | lenguaje_version = lenguaje + ' ' + str(version) 8 | 9 | print(lenguaje_version) 10 | -------------------------------------------------------------------------------- /Capitulo4/r405_crear_carpeta.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 4-5: Crear carpeta 3 | 4 | import os 5 | 6 | nuevo_directorio = 'nuevo_directorio' 7 | 8 | if not os.path.exists(nuevo_directorio): 9 | os.makedirs(nuevo_directorio) 10 | -------------------------------------------------------------------------------- /Capitulo4/r407_iterar_contenido_directorio.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 4-7: Iterar el contenido de un directorio: 3 | 4 | import pathlib 5 | 6 | p = pathlib.Path('.') 7 | 8 | for elemento in p.iterdir(): 9 | print(elemento) 10 | -------------------------------------------------------------------------------- /Capitulo1/r104_subcadenas.py: -------------------------------------------------------------------------------- 1 | lenguaje = 'Python es genial' 2 | 3 | # variable[x:y] 4 | 5 | # print(len(lenguaje)) 6 | 7 | # print(lenguaje[-5]) 8 | 9 | print(lenguaje[0:6]) 10 | 11 | print(lenguaje[0:lenguaje.find('n') + 1]) -------------------------------------------------------------------------------- /Capitulo2/r209_formatear_fechas.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 2-9: Formatear fechas 3 | 4 | from datetime import datetime 5 | 6 | fecha = datetime.now() 7 | 8 | print(fecha) 9 | 10 | print(fecha.strftime('%A, %d. %B %Y %I:%M:%S')) 11 | -------------------------------------------------------------------------------- /Capitulo1/r112_codificar_unicode.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 1-12: Codificar una cadena de caracteres en Unicode: 3 | 4 | # unicode('Python') 5 | 6 | lenguaje1 = 'Python' 7 | lenguaje2 = u'Python' 8 | 9 | print(lenguaje1 == lenguaje2) 10 | -------------------------------------------------------------------------------- /Capitulo4/r401_copiar_archivo.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 4-1: Copiar un archivo 3 | 4 | # copy() 5 | 6 | import shutil 7 | 8 | ruta_nuevo_archivo = shutil.copy('paises.csv', 'paises2.csv') 9 | 10 | print(ruta_nuevo_archivo) 11 | 12 | # copy2() 13 | -------------------------------------------------------------------------------- /Capitulo9/r901_crear_conexion_socket.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta Python 9-1: Crear una conexión de socket. 3 | 4 | import socket 5 | 6 | host = '192.168.0.13' 7 | puerto = '5151' 8 | 9 | s = socket.create_connection((host, puerto)) 10 | 11 | 12 | -------------------------------------------------------------------------------- /Capitulo9/r906_leer_contenido_pagina_web.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta Python 9-6: Leer el contenido de una página Web. 3 | 4 | import urllib.request 5 | 6 | pagina_web = urllib.request.urlopen('https://www.python.org/') 7 | 8 | print(pagina_web.read(200)) 9 | -------------------------------------------------------------------------------- /Capitulo1/r103_buscar_cadena.py: -------------------------------------------------------------------------------- 1 | # 1. A través del operador polimórfico in 2 | # 2. A través del método find (string) 3 | 4 | lenguaje = 'Python es un lenguaje de programación' 5 | 6 | print('python' in lenguaje) 7 | 8 | print(lenguaje.find('programación')) 9 | -------------------------------------------------------------------------------- /Capitulo2/r206_generar_numeros_aleatorios.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 2-6:Generar números aleatorios 3 | 4 | import random 5 | 6 | print(random.random()) 7 | 8 | print(random.randint(0, 10)) 9 | 10 | primos = [2, 3, 5, 7] 11 | 12 | print(random.choice(primos)) 13 | -------------------------------------------------------------------------------- /Capitulo4/r406_metadatos_directorio.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 4-6: Obtener metadatos de un directorio 3 | 4 | import os 5 | 6 | directorio_actual = os.getcwd() 7 | 8 | metadatos = os.stat(directorio_actual) 9 | 10 | print(metadatos) 11 | print(metadatos.st_ctime) 12 | -------------------------------------------------------------------------------- /Capitulo5/r501_crear_un_objeto_Series.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 5-1: Crear un objeto Series. 3 | 4 | # pip install pandas 5 | 6 | import pandas as pd 7 | 8 | datos = [1, 2, 3, 4, 5] 9 | 10 | serie = pd.Series(datos) 11 | 12 | print(serie + 7) 13 | 14 | print(serie.dtype) 15 | -------------------------------------------------------------------------------- /Capitulo1/r108_cambiar_capitalizacion.py: -------------------------------------------------------------------------------- 1 | 2 | # Cambiar entre mayúsculas y minúsculas 3 | 4 | # upper, lower, capitalize 5 | 6 | frase = 'python es un tremendo!' 7 | 8 | print(frase.upper()) 9 | print(frase.lower()) 10 | print(frase.capitalize()) 11 | 12 | 13 | -------------------------------------------------------------------------------- /Capitulo9/r908_crear_servidor.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta Python 9-8: Crear un servidor. 3 | 4 | import socket 5 | 6 | host = '' 7 | puerto = '5353' 8 | 9 | servidor = socket.socket(socket.AF_INET, socket.SOCK_STREAM) 10 | servidor.bind((host, puerto)) 11 | servidor.listen(1) 12 | -------------------------------------------------------------------------------- /Capitulo5/r508_explorar_registros.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 5-8: Explorar los registros de un DataFrame 3 | 4 | # head() y tail() 5 | 6 | import pandas as pd 7 | 8 | peliculas = pd.read_csv('movies.csv') 9 | 10 | print(peliculas.head(20)) 11 | 12 | print(peliculas.tail(15)) 13 | -------------------------------------------------------------------------------- /Capitulo2/r205_decimales_con_precision_arbitraria.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 2-5: Decimales con precisión arbitraria 3 | 4 | from decimal import * 5 | 6 | print(getcontext()) 7 | 8 | print(Decimal(1)/Decimal(3)) 9 | 10 | getcontext().prec = 7 11 | 12 | print(Decimal(1)/Decimal(3)) 13 | -------------------------------------------------------------------------------- /Capitulo5/r504_importar_archivo_CSV.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 5-4: Importar archivo CSV 3 | 4 | import pandas as pd 5 | 6 | paises = pd.read_csv('paises.csv') 7 | 8 | print(paises.columns) 9 | 10 | print(paises.shape) 11 | 12 | print(len(paises)) 13 | 14 | print(paises['pais']) 15 | -------------------------------------------------------------------------------- /Capitulo4/r409_crear_archivo_zip.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 4-9: Crear un archivo ZIP. 3 | 4 | from zipfile import ZipFile 5 | 6 | nuevo_archivo = ZipFile('archivo.zip', 'a') 7 | 8 | nuevo_archivo.write('paises.csv') 9 | nuevo_archivo.write('productos.xml') 10 | 11 | nuevo_archivo.close() 12 | -------------------------------------------------------------------------------- /Capitulo5/r509_generar_estadisticas_DataFrame.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 5-9: Obtener estadísticas básicas en un DataFrame. 3 | 4 | import pandas as pd 5 | 6 | peliculas = pd.read_csv('movies.csv') 7 | 8 | print(peliculas.describe()) 9 | 10 | print(peliculas.movie_facebook_likes.max()) 11 | -------------------------------------------------------------------------------- /Capitulo7/r701_tipo_dato.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta Python 7-1: Obtener el tipo de dato de una variable o de una literal. 3 | 4 | # 1. type() 5 | # 2. isinstance() 6 | 7 | a = 47 8 | b = 'Python' 9 | 10 | print(type(a)) 11 | print(type(b)) 12 | 13 | print(isinstance(a, str)) 14 | print(isinstance(b, int)) 15 | -------------------------------------------------------------------------------- /Capitulo4/r404_leer_contenido_archivo_xml.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 4-4: Leer el contenido de un archivo XML: 3 | 4 | import xml.etree.ElementTree as ET 5 | 6 | archivo_xml = ET.parse('productos.xml') 7 | 8 | raiz = archivo_xml.getroot() 9 | 10 | print(raiz) 11 | 12 | for hijo in raiz: 13 | print(hijo.text) 14 | -------------------------------------------------------------------------------- /Capitulo1/r110_iterar_cadena.py: -------------------------------------------------------------------------------- 1 | 2 | # Iterar una cadena de caracteres: 3 | 4 | # 1. Utilizar los índices a través de un ciclo for 5 | # 2. Utilizar un iterador 6 | 7 | frase = 'Python 3.7' 8 | 9 | for i in range(len(frase)): 10 | print(frase[i]) 11 | 12 | 13 | for caracter in frase: 14 | print(caracter) 15 | -------------------------------------------------------------------------------- /Capitulo3/r304_iterar_contenido_archivo.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 3-4: Iterar el contenido de un archivo 3 | 4 | archivo = open('archivo.csv') 5 | 6 | for pais in archivo: 7 | print(pais) 8 | 9 | archivo = open('archivo.csv') 10 | 11 | print(next(archivo)) 12 | print(next(archivo)) 13 | print(next(archivo)) 14 | print(next(archivo)) 15 | -------------------------------------------------------------------------------- /Capitulo3/r301_iterar_contenido_lista.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 3-1: Iterar una lista 3 | 4 | primos = [2, 3, 5, 7, 11] 5 | 6 | for primo in primos: 7 | print(primo) 8 | 9 | iterador = iter(primos) 10 | 11 | print(next(iterador)) 12 | print(next(iterador)) 13 | print(next(iterador)) 14 | print(next(iterador)) 15 | print(next(iterador)) 16 | print(next(iterador)) 17 | -------------------------------------------------------------------------------- /Capitulo6/r604_implementar_algoritmo_recursivo.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta Python 6-4: Implementar un Algoritmo Recursivo 3 | 4 | 5 | def calcular_factorial(n): 6 | if n == 0 or n == 1: 7 | return 1 8 | else: 9 | return n * calcular_factorial(n - 1) 10 | 11 | 12 | print(calcular_factorial(5)) 13 | 14 | # 5! = 5 * 4 * 3 * 2 * 1 = 120 15 | -------------------------------------------------------------------------------- /Capitulo9/r904_leer_email_con_imap.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta Python 9-4: Leer un correo-e con IMAP. 3 | 4 | import imaplib, getpass 5 | 6 | servidor = imaplib.IMAP4('email.empresa.com') 7 | servidor.login(getpass.getuser(), getpass.getpass()) 8 | 9 | servidor.select() 10 | tipo, datos = servidor.search(None, 'ALL') 11 | 12 | servidor.close() 13 | servidor.logout() 14 | -------------------------------------------------------------------------------- /Capitulo1/r113_mapear_caracteres.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 1-13: Mapear caracteres de un objeto string 3 | 4 | lenguaje = 'Pithon' 5 | 6 | mapa = lenguaje.maketrans('ií', 'yy') 7 | print(lenguaje) 8 | print(lenguaje.translate(mapa)) 9 | 10 | lenguaje = 'Pyt hon' 11 | print(lenguaje) 12 | lenguaje = lenguaje.translate(str.maketrans({' ': None})) 13 | print(lenguaje) 14 | -------------------------------------------------------------------------------- /Capitulo5/r505_guardar_archivo_CSV.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 5-5: Guardar contenido DataFrame en archivo CSV. 3 | 4 | import pandas as pd 5 | 6 | paises = ['Albania', 'Bélgica', 'Chipre', 'Eslovenia', 'Dinamarca', 'España'] 7 | 8 | paises_df = pd.DataFrame(data={'pais': paises}) 9 | 10 | # print(paises_df) 11 | 12 | paises_df.to_csv('paises_europeos.csv', index=False) 13 | -------------------------------------------------------------------------------- /Capitulo1/r107_remover_espacio_blanco.py: -------------------------------------------------------------------------------- 1 | 2 | # Remover el espacio (o cualquier otro caracter) de una cadena caracteres: 3 | 4 | lenguaje = " Python es génial " 5 | 6 | print(lenguaje) 7 | print(lenguaje.strip()) 8 | 9 | frase = 'xxxyyyxxx' 10 | 11 | print(frase.strip('x')) 12 | 13 | # rstrip(), lstrip() 14 | 15 | print(frase.lstrip('x').rstrip('x')) 16 | 17 | -------------------------------------------------------------------------------- /Capitulo5/r510_ordenar_datos.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 5-10: Ordenar datos en un DataFrame. 3 | 4 | import pandas as pd 5 | 6 | datos = {'col1': [1, 2, 3], 'col2': [4, 5, 6], 'col3': [7, 8, 9]} 7 | 8 | df = pd.DataFrame(data=datos, index=['b', 'c', 'a']) 9 | 10 | print(df.head()) 11 | 12 | print(df.sort_index()) 13 | 14 | print(df.sort_values(by='col2', ascending=False)) 15 | -------------------------------------------------------------------------------- /Capitulo6/r601_crear_una_funcion.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta Python 6-1: Crear una función. 3 | 4 | 5 | def calcular_cubo(x): 6 | """ 7 | Calcula el cubo de un número. 8 | :param x: Número a calcular el cubo. 9 | :return: Cubo de un número. 10 | """ 11 | cubo = x ** 3 12 | 13 | return cubo 14 | 15 | 16 | print(calcular_cubo(3)) 17 | print(calcular_cubo(4)) 18 | -------------------------------------------------------------------------------- /Capitulo5/r502_crear_un_dataframe.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 5-2: Crear un DataFrame. 3 | 4 | import pandas as pd 5 | 6 | diccionario = {'col1': [1, 2, 3, 4, 5], 'col2': [2, 3, 5, 7, 11]} 7 | 8 | df = pd.DataFrame(data=diccionario) 9 | 10 | # print(df.head()) 11 | print(df.tail(2)) 12 | 13 | print(df.columns) 14 | 15 | print(df.describe()) 16 | 17 | print(type(df['col2'])) 18 | -------------------------------------------------------------------------------- /Capitulo5/r503_crear_Panel.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 5-3: Crear un objeto Panel 3 | 4 | import pandas as pd 5 | 6 | dict1 = {'col1': list(range(0, 5)), 'col2': list(range(5, 10))} 7 | dict2 = {'colA': list(range(10, 15)), 'colB': list(range(15, 20))} 8 | 9 | df1 = pd.DataFrame(data=dict1) 10 | df2 = pd.DataFrame(data=dict2) 11 | 12 | panel = pd.Panel({'dict1': df1, 'dict2': df2}) 13 | -------------------------------------------------------------------------------- /Capitulo7/r702_crear_una_clase.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta Python 7-2: Crear una clase. 3 | 4 | 5 | class Persona: 6 | def __init__(self, nombres, edad, id): 7 | self.nombres = nombres 8 | self.edad = edad 9 | self.id = id 10 | 11 | def __str__(self): 12 | return 'Nombres: {} - Edad: {} - ID: {}'.format(self.nombres, self.edad, self.id) 13 | 14 | -------------------------------------------------------------------------------- /Capitulo9/r907_obtener_datos_via_get.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta Python 9-7: Enviar una solicitud vía GET. 3 | 4 | import urllib.request 5 | 6 | solicitud = urllib.request.Request('https://jsonplaceholder.typicode.com/todos/1', method='GET') 7 | 8 | respuesta = urllib.request.urlopen(solicitud) 9 | 10 | print(respuesta.status) 11 | print(respuesta.reason) 12 | print(respuesta.read()) 13 | -------------------------------------------------------------------------------- /Capitulo2/r201_crear_numeros_enteros.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 2-1: Crear números enteros 3 | 4 | # 1. literales 5 | # 2. entrada del usuario 6 | 7 | entero = 29 8 | 9 | numero = int(input('Escriba un número: ')) 10 | 11 | print(entero, numero) 12 | 13 | print(numero.bit_length()) 14 | 15 | binario = '111' 16 | 17 | representacion_entera = int(binario, 2) 18 | 19 | print(representacion_entera) 20 | 21 | -------------------------------------------------------------------------------- /Capitulo1/r111_estadisticas_cadena_caracteres.py: -------------------------------------------------------------------------------- 1 | 2 | # Calcular estadísticas básicas sobre una cadena de caracteres: 3 | 4 | 5 | # longitud, el carácter máximo y mínimo, y el número de ocurrencias de un carácter: 6 | 7 | frase = 'Python es un lenguaje de programación' 8 | 9 | print(len(frase)) 10 | 11 | print(min(frase)) 12 | 13 | print(max(frase)) 14 | 15 | print(frase.count('o')) 16 | -------------------------------------------------------------------------------- /Capitulo2/r210_convertir_cadenas_en_fechas.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 2-10: Convertir cadenas en horas y fechas 3 | 4 | from datetime import datetime 5 | 6 | fecha1 = datetime(year=1972, month=1, day=1) 7 | 8 | print(fecha1) 9 | 10 | fecha2 = datetime.strptime('1972-01-01', '%Y-%m-%d') 11 | 12 | print(fecha2) 13 | 14 | # https://docs.python.org/3/library/datetime.html#strftime-strptime-behavior 15 | -------------------------------------------------------------------------------- /Capitulo1/r201_crear_numeros_enteros.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 2-1: Crear números enteros 3 | 4 | # 1. literales 5 | # 2. entrada del usuario 6 | 7 | entero = 29 8 | 9 | numero = int(input('Escriba un número: ')) 10 | 11 | print(entero, numero) 12 | 13 | print(numero.bit_length()) 14 | 15 | binario = '111' 16 | 17 | representacion_entera = int(binario, 2) 18 | 19 | print(representacion_entera) 20 | 21 | -------------------------------------------------------------------------------- /Capitulo2/r202_crear_numeros_reales.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 2-2: Crear números reales 3 | 4 | # 1. A través de literales 5 | # 2. Es por medio de la función float() 6 | 7 | decimal1 = 3.1415 8 | 9 | decimal2 = float('3.1415') 10 | 11 | decimal3 = float(input('Escriba un número real: ')) 12 | 13 | decimal4 = 1e3 # 1000 14 | 15 | print(decimal1) 16 | print(decimal2) 17 | print(decimal3) 18 | print(decimal4) 19 | -------------------------------------------------------------------------------- /Capitulo2/r207_obtener_hora_fecha.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 2-7: Obtener fecha y hora actuales 3 | 4 | import datetime 5 | 6 | hora_fecha_actual = datetime.datetime.now() 7 | 8 | print(hora_fecha_actual) 9 | 10 | hora = hora_fecha_actual.time() 11 | fecha = hora_fecha_actual.date() 12 | 13 | print(hora) 14 | print(fecha) 15 | 16 | print(hora.hour, hora.minute, hora.second) 17 | print(fecha.year, fecha.month, fecha.day) 18 | -------------------------------------------------------------------------------- /Capitulo1/r105_reemplazar.py: -------------------------------------------------------------------------------- 1 | # Reemplzar texto en una cadena caracteres: 2 | 3 | frase = 'python.com es el sitio oficial de Python' 4 | 5 | # Forma manual: uso de la notación slicing (o rebada) 6 | 7 | frase_corregida = frase[0:7] + 'org' + frase[10:] 8 | 9 | print(frase_corregida) 10 | 11 | # Forma automática: uso del método replace: 12 | 13 | frase_corregida = frase.replace('com', 'org') 14 | 15 | print(frase_corregida) -------------------------------------------------------------------------------- /Capitulo5/r507_guardar_archivo_Excel.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 5-7: Guardar contenido DataFrame en un archivo de Excel. 3 | 4 | import pandas as pd 5 | 6 | ids = [1, 2, 3, 4, 5] 7 | paises_europeos = ['Albania', 'Bélgica', 'Chipre', 'Eslovenia', 'Dinamarca'] 8 | 9 | df = pd.DataFrame(data={'id': ids, 'pais': paises_europeos}) 10 | 11 | print(df.head()) 12 | 13 | df.to_excel('paises_europeos.xlsx', sheet_name='europa', index=False) 14 | -------------------------------------------------------------------------------- /Capitulo6/r605_funciones_anonimas.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta Python 6-5: Uso de funciones anónimas. 3 | 4 | # Operador lambda 5 | 6 | numeros = [1, 2, 3, 4, 5] 7 | 8 | numeros_cuadrados = list(map(lambda numero: numero ** 2, numeros)) 9 | 10 | print(numeros_cuadrados) 11 | 12 | elevar_al_cuadrado = lambda numero: numero ** 2 13 | 14 | numeros_cuadrados = list(map(elevar_al_cuadrado, numeros)) 15 | 16 | print(numeros_cuadrados) 17 | -------------------------------------------------------------------------------- /Capitulo9/r905_enviar_correo.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 9-5: Enviar correo-e. 3 | 4 | import smtplib, getpass 5 | 6 | servidor = smtplib.SMTP('email.empresa.co') 7 | servidor.login(getpass.getuser(), getpass.getpass()) 8 | 9 | remitente = 'usuario1@gmail.com' 10 | destinatario = 'usuario2@gmail.com' 11 | 12 | mensaje = 'Python es un lenguaje de programación... génial' 13 | 14 | servidor.sendmail(remitente, destinatario, mensaje) 15 | -------------------------------------------------------------------------------- /Capitulo4/r408_guardar_datos_como_objeto.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 4-8: Guardar datos como objetos 3 | 4 | import pickle 5 | 6 | # paises = {'Colombia': 'Bogotá', 'Argentina': 'Buenos Aires'} 7 | # 8 | # archivo_paises = open('paises.pickle', 'wb') 9 | # 10 | # pickle.dump(paises, archivo_paises) 11 | 12 | archivo = open('paises.pickle', 'rb') 13 | 14 | paises_recuperados = pickle.load(archivo) 15 | 16 | print(paises_recuperados) 17 | -------------------------------------------------------------------------------- /Capitulo9/r903_leer_email_con_pop.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta Python 9-3: Leer un correo-e con POP. 3 | 4 | import getpass, poplib 5 | 6 | servidor = poplib.POP3('192.168.0.13') 7 | servidor.user(getpass.getuser()) 8 | servidor.pass_(getpass.getpass) 9 | 10 | cantidad_mensajes, bandeja = servidor.stat() 11 | 12 | # En conjunto: 13 | lista_correo = servidor.list() 14 | 15 | # Un mensaje en particular: 16 | mensaje = servidor.retr(2) 17 | -------------------------------------------------------------------------------- /Capitulo5/r511_aplicar_funciones_por_fila_columna.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 5-11: Aplicar una función sobre una fila o columna 3 | 4 | import pandas as pd 5 | import numpy as np 6 | 7 | datos = {'col1': [1, 2, 3], 'col2': [4, 5, 6], 'col3': [7, 8, 9]} 8 | 9 | df = pd.DataFrame(data=datos, index=['b', 'c', 'a']) 10 | 11 | print(df.apply(np.mean)) 12 | 13 | print(df.apply(np.mean, axis=1)) 14 | 15 | print(df.apply(lambda x: 2 * x, axis=0)) 16 | -------------------------------------------------------------------------------- /Capitulo7/r708_polimofismo.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta Python 7-8: Crear comportamiento polimórfico. 3 | 4 | 5 | class Perro: 6 | def hacer_sonido(self): 7 | print('Wow') 8 | 9 | 10 | class Gato: 11 | def hacer_sonido(self): 12 | print('Meow') 13 | 14 | 15 | def hacer_sonido(animal): 16 | animal.hacer_sonido() 17 | 18 | 19 | gato = Gato() 20 | perro = Perro() 21 | 22 | hacer_sonido(perro) 23 | hacer_sonido(gato) 24 | -------------------------------------------------------------------------------- /Capitulo2/r203_redondear_reales_a_enteros.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 2-3: Redondear reales a enteros 3 | 4 | pi = 3.1415 5 | 6 | # 1. int() 7 | # 2. trunc() del paquete math 8 | # 3. round() 9 | 10 | # 1: 11 | print(type(pi)) 12 | print(int(pi)) 13 | print(type(int(pi))) 14 | 15 | # 2: 16 | 17 | from math import trunc 18 | 19 | print() 20 | print(trunc(pi)) 21 | print(type(trunc(pi))) 22 | 23 | # 3: 24 | 25 | print() 26 | print(round(pi)) 27 | -------------------------------------------------------------------------------- /Capitulo5/r513_iterar_un_DataFrame.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 5-13: Iterar un DataFrame. 3 | 4 | import pandas as pd 5 | 6 | datos = {'col1': [1, 2, 3], 'col2': [4, 5, 6], 'col3': [7, 8, 9]} 7 | 8 | df = pd.DataFrame(data=datos) 9 | 10 | # Iteración por columnas: 11 | for columna in df: 12 | print(df[columna]) 13 | 14 | # Iterar índice, fila: 15 | for indice, fila in df.iterrows(): 16 | print('Índice: {}'.format(indice)) 17 | print(fila) 18 | -------------------------------------------------------------------------------- /Capitulo2/r204_formatear_numeros.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 2-4: Formatear números 3 | 4 | # format() 5 | 6 | entero = 42 7 | decimal = 31415.9265 8 | porcentaje = 0.19 9 | 10 | print(format(entero, 'X')) 11 | print(format(decimal, 'e')) 12 | print(format(decimal, '.2f')) 13 | print(format(porcentaje, '%')) 14 | 15 | # https://docs.python.org/3.7/library/functions.html?highlight=format#format 16 | # https://docs.python.org/3.7/library/string.html#formatspec 17 | -------------------------------------------------------------------------------- /Capitulo5/r512_aplicar_funciones_elementos.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 5-12: Aplicar una función a cada elemento de un DataFrame o Series. 3 | 4 | import pandas as pd 5 | 6 | datos = {'col1': [1, 2, 3], 'col2': [4, 5, 6], 'col3': [7, 8, 9]} 7 | 8 | # 1. applymap: se usa sobre un DataFrame 9 | # 2. map: se usa sobre un Series 10 | 11 | df = pd.DataFrame(data=datos) 12 | 13 | print(df.applymap(lambda x: x ** 3)) 14 | 15 | print(df.col2.map(lambda x: x ** 2)) 16 | -------------------------------------------------------------------------------- /Capitulo6/r606_generar_funciones_especializadas.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta Python 6-6: Generar funciones especializadas. 3 | 4 | 5 | def generador_multiplicador(multiplo): 6 | return lambda x: x * multiplo 7 | 8 | 9 | duplicador = generador_multiplicador(2) 10 | print(duplicador(3)) 11 | print(duplicador(5)) 12 | print(duplicador(7)) 13 | 14 | triplicador = generador_multiplicador(3) 15 | print(triplicador(3)) 16 | print(triplicador(5)) 17 | print(triplicador(7)) 18 | -------------------------------------------------------------------------------- /Capitulo8/r802_wraps.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta Python 8-2: Decorar con wraps. 3 | 4 | from functools import wraps 5 | 6 | 7 | def funcion_decoradora(funcion): 8 | 9 | @wraps(funcion) 10 | def envoltura(*args, **kwds): 11 | print('Función decoradora invocada.') 12 | 13 | return funcion(*args, **kwds) 14 | 15 | return envoltura 16 | 17 | 18 | @funcion_decoradora 19 | def saludo(): 20 | print('Hola') 21 | 22 | 23 | saludo() 24 | -------------------------------------------------------------------------------- /Capitulo1/r102_comparar.py: -------------------------------------------------------------------------------- 1 | # ==: a nivel de contenido 2 | # is: a nivel de referencia 3 | 4 | lenguaje = 'Python' 5 | 6 | if lenguaje == 'python': 7 | print('Las cadenas de caracteres son iguales') 8 | else: 9 | print('Las cadenas de caracteres NO son iguales') 10 | 11 | 12 | lenguaje_python = lenguaje 13 | 14 | if lenguaje_python is lenguaje: 15 | print('Las referencias son iguales') 16 | else: 17 | print('Las referencias no son iguales.') 18 | 19 | -------------------------------------------------------------------------------- /Capitulo2/r208_diferencias_entre_horas_fechas.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 2-8: Diferencia entre horas y fechas 3 | 4 | import datetime 5 | import time 6 | 7 | fecha1 = datetime.datetime.now() 8 | time.sleep(3) 9 | fecha2 = datetime.datetime.now() 10 | 11 | diferencia = fecha2 - fecha1 12 | 13 | print(diferencia.seconds) 14 | 15 | delta = datetime.timedelta(days=7) 16 | 17 | fecha_resultado = fecha2 + delta 18 | print(fecha2.day) 19 | print(fecha_resultado.day) 20 | 21 | -------------------------------------------------------------------------------- /Capitulo8/r801_funciones_decoradoras.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta Python 8-1: Crear funciones decoradoras. 3 | 4 | 5 | def cambiar_a_mayusculas_decorador(funcion): 6 | def envoltura(): 7 | resultado = funcion() 8 | 9 | mayusculas = resultado.upper() 10 | 11 | return mayusculas 12 | 13 | return envoltura 14 | 15 | 16 | @cambiar_a_mayusculas_decorador 17 | def saludar(): 18 | return 'Hola... Bienvenidos al mundo Python' 19 | 20 | 21 | print(saludar()) 22 | -------------------------------------------------------------------------------- /Capitulo8/r805_crear_metaclase.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta Python 8-5: Crear una metaclase. 3 | 4 | 5 | class NoInstanciar(type): 6 | 7 | def __call__(self, *args, **kwargs): 8 | 9 | raise TypeError('No se pueden crear objetos de esta clase.') 10 | 11 | 12 | class Constantes(metaclass=NoInstanciar): 13 | PI = 3.141592 14 | E = 2.718182 15 | EULER = 0.577215 16 | 17 | 18 | # Generar error: 19 | # c = Constantes() 20 | 21 | print(Constantes.EULER) 22 | -------------------------------------------------------------------------------- /Capitulo9/r902_enviar_datos_conexion_socket.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta Python 9-2: Enviar datos sobre una conexión socket. 3 | 4 | import socket 5 | 6 | host = '192.168.0.13' 7 | puerto = '5151' 8 | 9 | s = socket.create_connection((host, puerto)) 10 | 11 | mensaje = b'Python es un lenguaje de programación tremendo' 12 | longitud = len(mensaje) 13 | total_enviado = 0 14 | 15 | while total_enviado < longitud: 16 | enviado = s.send(mensaje[total_enviado:]) 17 | total_enviado += enviado 18 | -------------------------------------------------------------------------------- /Capitulo7/r705_crear_un_objeto.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta Python 7-5: Crear una instancia u objeto de una clase. 3 | 4 | 5 | class Persona: 6 | def __init__(self, nombres, edad, id): 7 | self.nombres = nombres 8 | self.edad = edad 9 | self.id = id 10 | 11 | def __str__(self): 12 | return 'Nombres: {} - Edad: {} - ID: {}'.format(self.nombres, self.edad, self.id) 13 | 14 | 15 | fernanda = Persona('Fernanda Gómez', 29, '123852951') 16 | 17 | print(fernanda) 18 | -------------------------------------------------------------------------------- /Capitulo8/r803_obtener_funcion_decorada.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta Python 8-3: Obtener función decorada. 3 | 4 | from functools import wraps 5 | 6 | 7 | def funcion_decoradora(funcion): 8 | 9 | @wraps(funcion) 10 | def envoltura(*args, **kwds): 11 | print('Función decoradora invocada.') 12 | 13 | return funcion(*args, **kwds) 14 | 15 | return envoltura 16 | 17 | 18 | @funcion_decoradora 19 | def saludo(): 20 | print('Hola') 21 | 22 | 23 | saludo.__wrapped__() 24 | -------------------------------------------------------------------------------- /Capitulo4/r403_leer_contenido_archivo.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 4-3: Leer el contenido de un archivo 3 | 4 | # 1. Leer todo el contenido 5 | # 2. Leer una parte 6 | # 3. Utilizar un ciclo 7 | 8 | archivo = open('paises.csv') 9 | 10 | # 1. Lee todo el contenido del archivo: 11 | # print(archivo.read()) 12 | 13 | # 2. Lee una parte (cantidad en bytes): 14 | # lectura_parcial = archivo.read(10) 15 | # 16 | # print(lectura_parcial) 17 | 18 | # 3. Uso de un ciclo: 19 | for linea in archivo: 20 | print(linea, end='') 21 | -------------------------------------------------------------------------------- /Capitulo3/r303_filtrar_un_iterador.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 3-3: Filtrar un iterador 3 | 4 | numeros =range(10) 5 | 6 | print(list(numeros)) 7 | 8 | impares_iterador = filter(lambda numero: numero % 2, numeros) 9 | 10 | print(next(impares_iterador)) 11 | print(next(impares_iterador)) 12 | print(next(impares_iterador)) 13 | 14 | lista_impares = list(filter(lambda numero: numero % 2, numeros)) 15 | 16 | print(lista_impares) 17 | 18 | import itertools 19 | 20 | lista_pares = list(itertools.filterfalse(lambda numero: numero % 2, numeros)) 21 | 22 | print(lista_pares) 23 | -------------------------------------------------------------------------------- /Capitulo3/r305_iterar_data_sin_iterador.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 3-5: Iterar datos que tienen un iterador 3 | 4 | 5 | def generar_cuadrado(valor=0): 6 | while True: 7 | valor += 1 8 | 9 | yield (valor - 1) ** 2 10 | 11 | 12 | generador = generar_cuadrado() 13 | 14 | print(next(generador)) 15 | print(next(generador)) 16 | print(next(generador)) 17 | print(next(generador)) 18 | 19 | generador = generar_cuadrado(5) 20 | 21 | print() 22 | print(next(generador)) 23 | print(next(generador)) 24 | print(next(generador)) 25 | print(next(generador)) 26 | -------------------------------------------------------------------------------- /Capitulo3/r306_itertools.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 3-6: Módulo itertools 3 | 4 | # accumulate 5 | # combinations 6 | 7 | rango = range(0, 10) 8 | 9 | # 0 1 2 3 4 ... 10 | # 0 1 3 6 ... 11 | 12 | import itertools 13 | 14 | acumulador = itertools.accumulate(rango) 15 | 16 | print(next(acumulador)) 17 | print(next(acumulador)) 18 | print(next(acumulador)) 19 | print(next(acumulador)) 20 | 21 | combinaciones = itertools.combinations(rango, 2) 22 | 23 | print(next(combinaciones)) 24 | print(next(combinaciones)) 25 | print(next(combinaciones)) 26 | print(next(combinaciones)) 27 | -------------------------------------------------------------------------------- /Capitulo6/r603_valores_predeterminados_parametros.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta Python 6-3: Usar valores predeterminados para parámetros 3 | 4 | 5 | def calcular_potencia(base, exponente=2): 6 | """ 7 | Calcula la potencia. 8 | :param base: Base 9 | :param exponente: Exponente 10 | :return: Potencia. 11 | """ 12 | return base ** exponente 13 | 14 | 15 | print(calcular_potencia(5, 2)) 16 | print(calcular_potencia(7, 2)) 17 | print(calcular_potencia(8, 2)) 18 | 19 | print(calcular_potencia(5)) 20 | print(calcular_potencia(7)) 21 | print(calcular_potencia(8)) 22 | -------------------------------------------------------------------------------- /Capitulo3/r302_extraer_contenido_iterador.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta 3-2: Extraer el contenido de un iterador 3 | 4 | # enumerate() 5 | 6 | lenguajes = ['Python', 'Java', 'C#', 'PHP', 'C++'] 7 | 8 | enumerador_lenguajes = enumerate(lenguajes) 9 | 10 | print(next(enumerador_lenguajes)) 11 | print(next(enumerador_lenguajes)) 12 | print(next(enumerador_lenguajes)) 13 | 14 | enumerador_lenguajes2 = enumerate(lenguajes, 5) 15 | 16 | print(next(enumerador_lenguajes2)) 17 | print(next(enumerador_lenguajes2)) 18 | print(next(enumerador_lenguajes2)) 19 | 20 | for indice, elemento in enumerate(lenguajes): 21 | print(indice, elemento) 22 | -------------------------------------------------------------------------------- /Capitulo8/r804_aplicar_una_metaclase.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta Python 8-4: Aplicar una metaclase. 3 | 4 | 5 | # Tomado desde StackOverflow: 6 | 7 | class Singleton(type): 8 | _instances = {} 9 | 10 | def __call__(cls, *args, **kwargs): 11 | if cls not in cls._instances: 12 | cls._instances[cls] = super(Singleton, cls).__call__(*args, **kwargs) 13 | return cls._instances[cls] 14 | 15 | 16 | class ConexionBaseDatos(metaclass=Singleton): 17 | pass 18 | 19 | 20 | conexion1 = ConexionBaseDatos() 21 | conexion2 = ConexionBaseDatos() 22 | 23 | print(id(conexion1)) 24 | print(id(conexion2)) 25 | 26 | print(conexion1 == conexion2) 27 | -------------------------------------------------------------------------------- /Capitulo6/r602_parametros_nombrados.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta Python 6-2: Orden arbitrario de parámetros en una función 3 | 4 | 5 | def calcular_cubo(x): 6 | """ 7 | Calcula el cubo de un número. 8 | :param x: Número a calcular el cubo. 9 | :return: Cubo del número dado. 10 | """ 11 | cubo = x ** 3 12 | 13 | return cubo 14 | 15 | 16 | print(calcular_cubo(x=5)) 17 | 18 | 19 | def multiplicar(a, b, c): 20 | """ 21 | Multiplica tres números. 22 | :param a: Número a 23 | :param b: Número b 24 | :param c: Número c 25 | :return: Multiplicación entre a, b y c 26 | """ 27 | return a * b *c 28 | 29 | 30 | print(multiplicar(2, 5, 7)) 31 | print(multiplicar(c=7, a=2, b=5)) 32 | -------------------------------------------------------------------------------- /Capitulo4/productos.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | Catálogo 2015 6 | 2016-06-03 7 | 8 | 9 | 10 | Café Negro 11 | El mejor café negro. 12 | 8500 13 | true 14 | 15 | 16 | Cappuccino 17 | Mezcla espumosa de espresso y leche hervida. 18 | 9500 19 | true 20 | 21 | 22 | -------------------------------------------------------------------------------- /Capitulo1/r109_conversion_numeros.py: -------------------------------------------------------------------------------- 1 | 2 | # Conversión de cadenas de caracteres en valores numéricos: 3 | 4 | # int(), float(), long(), y complex() 5 | 6 | literal_entero = '123' 7 | literal_decimal = '3.1415' 8 | literal_entero_largo = '123456789456789456951753215679515647' 9 | literal_complejo = '5+8j' 10 | 11 | entero = int(literal_entero) 12 | print(type(entero)) 13 | print(entero) 14 | 15 | decimal = float(literal_decimal) 16 | print(type(decimal)) 17 | print(decimal) 18 | 19 | # Funciona para Python 2.x 20 | # entero_largo = long(literal_entero_largo) 21 | # print(type(entero_largo)) 22 | # print(entero_largo) 23 | 24 | entero_largo = int(literal_entero_largo) 25 | print(type(entero_largo)) 26 | print(entero_largo) 27 | 28 | complejo = complex(literal_complejo) 29 | print(type(complejo)) 30 | print(complejo) 31 | -------------------------------------------------------------------------------- /r706_comparar_objetos.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta Python 7-6: Comparar objetos. 3 | 4 | 5 | class NumeroComplejo: 6 | def __init__(self, real, imaginaria): 7 | self.real = real 8 | self.imaginaria = imaginaria 9 | 10 | def __lt__(self, otro): 11 | if self.real < otro.real and self.imaginaria < otro.imaginaria: 12 | return True 13 | else: 14 | return False 15 | 16 | def __gt__(self, otro): 17 | if self.real > otro.real and self.imaginaria > otro.imaginaria: 18 | return True 19 | else: 20 | return False 21 | 22 | def __eq__(self, otro): 23 | 24 | return self.real == otro.real and self.imaginaria == otro.imaginaria 25 | 26 | 27 | numero1 = NumeroComplejo(3, 5) 28 | numero2 = NumeroComplejo(2, 1) 29 | numero3 = NumeroComplejo(3, 5) 30 | 31 | print(numero1 > numero2) 32 | print(numero1 == numero3) 33 | -------------------------------------------------------------------------------- /Capitulo7/r706_comparar_objetos.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta Python 7-6: Comparar objetos. 3 | 4 | 5 | class NumeroComplejo: 6 | def __init__(self, real, imaginaria): 7 | self.real = real 8 | self.imaginaria = imaginaria 9 | 10 | def __lt__(self, otro): 11 | if self.real < otro.real and self.imaginaria < otro.imaginaria: 12 | return True 13 | else: 14 | return False 15 | 16 | def __gt__(self, otro): 17 | if self.real > otro.real and self.imaginaria > otro.imaginaria: 18 | return True 19 | else: 20 | return False 21 | 22 | def __eq__(self, otro): 23 | 24 | return self.real == otro.real and self.imaginaria == otro.imaginaria 25 | 26 | 27 | numero1 = NumeroComplejo(3, 5) 28 | numero2 = NumeroComplejo(2, 1) 29 | numero3 = NumeroComplejo(3, 5) 30 | 31 | print(numero1 > numero2) 32 | print(numero1 == numero3) 33 | -------------------------------------------------------------------------------- /Capitulo7/r707_cambiar_estado_objeto.py: -------------------------------------------------------------------------------- 1 | 2 | # Receta Python 7-7: Cambiar el estado de un objeto. 3 | 4 | 5 | class NumeroComplejo: 6 | def __init__(self, real, imaginaria): 7 | self.real = real 8 | self.imaginaria = imaginaria 9 | 10 | def __lt__(self, otro): 11 | if self.real < otro.real and self.imaginaria < otro.imaginaria: 12 | return True 13 | else: 14 | return False 15 | 16 | def __gt__(self, otro): 17 | if self.real > otro.real and self.imaginaria > otro.imaginaria: 18 | return True 19 | else: 20 | return False 21 | 22 | def __eq__(self, otro): 23 | 24 | return self.real == otro.real and self.imaginaria == otro.imaginaria 25 | 26 | 27 | numero1 = NumeroComplejo(1, 3) 28 | print(numero1.real, numero1.imaginaria) 29 | 30 | numero1.real = -5 31 | numero1.imaginaria = 7 32 | print(numero1.real, numero1.imaginaria) 33 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # C extensions 7 | *.so 8 | 9 | # Distribution / packaging 10 | .Python 11 | build/ 12 | develop-eggs/ 13 | dist/ 14 | downloads/ 15 | eggs/ 16 | .eggs/ 17 | lib/ 18 | lib64/ 19 | parts/ 20 | sdist/ 21 | var/ 22 | wheels/ 23 | *.egg-info/ 24 | .installed.cfg 25 | *.egg 26 | MANIFEST 27 | 28 | # PyInstaller 29 | # Usually these files are written by a python script from a template 30 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 31 | *.manifest 32 | *.spec 33 | 34 | # Installer logs 35 | pip-log.txt 36 | pip-delete-this-directory.txt 37 | 38 | # Unit test / coverage reports 39 | htmlcov/ 40 | .tox/ 41 | .coverage 42 | .coverage.* 43 | .cache 44 | nosetests.xml 45 | coverage.xml 46 | *.cover 47 | .hypothesis/ 48 | .pytest_cache/ 49 | 50 | # Translations 51 | *.mo 52 | *.pot 53 | 54 | # Django stuff: 55 | *.log 56 | local_settings.py 57 | db.sqlite3 58 | 59 | # Flask stuff: 60 | instance/ 61 | .webassets-cache 62 | 63 | # 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Interpretation of Sections 15 and 16. 613 | 614 | If the disclaimer of warranty and limitation of liability provided 615 | above cannot be given local legal effect according to their terms, 616 | reviewing courts shall apply local law that most closely approximates 617 | an absolute waiver of all civil liability in connection with the 618 | Program, unless a warranty or assumption of liability accompanies a 619 | copy of the Program in return for a fee. 620 | 621 | END OF TERMS AND CONDITIONS 622 | 623 | How to Apply These Terms to Your New Programs 624 | 625 | If you develop a new program, and you want it to be of the greatest 626 | possible use to the public, the best way to achieve this is to make it 627 | free software which everyone can redistribute and change under these terms. 628 | 629 | To do so, attach the following notices to the program. It is safest 630 | to attach them to the start of each source file to most effectively 631 | state the exclusion of warranty; and each file should have at least 632 | the "copyright" line and a pointer to where the full notice is found. 633 | 634 | 635 | Copyright (C) 636 | 637 | This program is free software: you can redistribute it and/or modify 638 | it under the terms of the GNU General Public License as published by 639 | the Free Software Foundation, either version 3 of the License, or 640 | (at your option) any later version. 641 | 642 | This program is distributed in the hope that it will be useful, 643 | but WITHOUT ANY WARRANTY; without even the implied warranty of 644 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 645 | GNU General Public License for more details. 646 | 647 | You should have received a copy of the GNU General Public License 648 | along with this program. If not, see . 649 | 650 | Also add information on how to contact you by electronic and paper mail. 651 | 652 | If the program does terminal interaction, make it output a short 653 | notice like this when it starts in an interactive mode: 654 | 655 | Copyright (C) 656 | This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. 657 | This is free software, and you are welcome to redistribute it 658 | under certain conditions; type `show c' for details. 659 | 660 | The hypothetical commands `show w' and `show c' should show the appropriate 661 | parts of the General Public License. Of course, your program's commands 662 | might be different; for a GUI interface, you would use an "about box". 663 | 664 | You should also get your employer (if you work as a programmer) or school, 665 | if any, to sign a "copyright disclaimer" for the program, if necessary. 666 | For more information on this, and how to apply and follow the GNU GPL, see 667 | . 668 | 669 | The GNU General Public License does not permit incorporating your program 670 | into proprietary programs. If your program is a subroutine library, you 671 | may consider it more useful to permit linking proprietary applications with 672 | the library. If this is what you want to do, use the GNU Lesser General 673 | Public License instead of this License. But first, please read 674 | . 675 | --------------------------------------------------------------------------------