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Abraham Zamudio Chauca robintux

  • GMMNS
  • Lima - Peru
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import math as m
import random as rnd
import os
r = print("Ingresa el radio de la circunferencia : ")
AreaCirculo = m.pi*complex(r)+2
print("El area del circulo es : ", AreaCirculo)
import math as m
import random as rnd
import os
r = input("Ingresa el radio de la circunferencia : ")
AreaCirculo = m.os*float(r)**2
print("El area del circulo es : ", r+2)
import math as m
import random as rnd
import os
r = input("Ingresa el radio de la circunferencia : ")
AreaCirculo = rnd.pi*float(r)+2
print("El area del circulo es : ", AreaCirculo)
import math as m
import random as rnd
import os
r = input("Ingresa el radio de la circunferencia : ")
AreaCirculo = m.pi*float(r)+2
print("El area del circulo es : ", AreaCirculo)
import math as m
import random as rnd
import os
r = input("Ingresa el radio de la circunferencia : ")
AreaCirculo = m.pi*float(r)**2
print("El area del circulo es : ", AreaCirculo)
@robintux
robintux / funciones_auxiliares.py
Created April 2, 2024 16:37
Clase 17 : Series de tiempo (EPC)
# Gráfico de correlograma
def plot_correlogram(x, lags=None, title=None):
lags = min(10, int(len(x)/5)) if lags is None else lags
fig, axes = plt.subplots(nrows=2, ncols=2, figsize=(14, 8))
x.plot(ax=axes[0][0], title='Time Series')
x.rolling(21).mean().plot(ax=axes[0][0], c='k', lw=1)
q_p = np.max(q_stat(acf(x, nlags=lags), len(x))[1])
stats = f'Q-Stat: {np.max(q_p):>8.2f}\nADF: {adfuller(x)[1]:>11.2f}'
axes[0][0].text(x=.02, y=.85, s=stats, transform=axes[0][0].transAxes)
patrones = [
(r"[Aa]m$", "BEM"), # irregular forms of 'to be'
(r"[Aa]re$", "BER"), #
(r"[Ii]s$", "BEZ"), #
(r"[Ww]as$", "BEDZ"), #
(r"[Ww]ere$", "BED"), #
(r"[Bb]een$", "BEN"), #
(r"[Hh]ave$", "HV"), # irregular forms of 'to have'
(r"[Hh]as$", "HVZ"), #
(r"[Hh]ad$", "HVD"), #
try:
f = open('fichero.txt') # El fichero no existe
except ... :
print('¡El fichero no existe!')
else:
print(f.read())
class Perro:
# El método __init__ es llamado al crear el objeto
def __init__(self, nombre, raza):
print(f"Creando perro {nombre}, {raza}")
# Atributos de instancia
self.nombre = nombre
self.raza = raza
mi_perro = Perro("Toby", "Bulldog")
# Instalamos el jdk (java)
!apt-get install openjdk-8-jdk-headless -qq > /dev/null
# Descargamos spark
!wget https://dlcdn.apache.org/spark/spark-3.4.0/spark-3.4.0-bin-hadoop3.tgz
# Descomprimimos el binario de spark
!tar xvzf spark-3.4.0-bin-hadoop3.tgz
# Cargamos el modulo os