harpiechoise

from fastapi import FastAPI, Request
from pydantic import BaseModel, Field

class Result(BaseModel):
    result: int = Field(title="Result",
                        description="The result of an arithmetic operation.")


app = FastAPI(
    title="Arithmetic API",

harpiechoise

pub trait Summary {
    fn sumarize(&self) -> String {
        format!("(Read more from {}...)", self.sumarize_author())
    }
    fn sumarize_author(&self) -> String;
}

pub trait User {
    fn printUser(&self) -> ();
}

harpiechoise

# La función que se llama a si misma
def contar(n, i=0):
    print(f"i: {i}")
    if i >= n:
        return
    return contar(n, i + 1)
# acc
# 0 + 0, i = 0, n = 4 -> suma(4, 0, 1)
# 0 + 1, i = 1, n = 4 -> suma(4, 1, 2)
# 1 + 2, i = 2, n = 4 -> suma(4, 3, 3)

harpiechoise

harpiechoise

harpiechoise

import pandas as pd
import numpy as np
# Series
s = pd.Series(['A', 'B', 'C', 'Casa', 'Vaca', np.nan, 'CABA', 'perro', 'gato'])
# Llevamos las cadenas a minusculas
s.str.lower()
# 0        a
# 1        b
# 2        c
# 3     casa

harpiechoise

import pandas as pd
import numpy as np
# 24 Filas
data = {'A': 'uno uno dos tres'.split(' ') * 6,
        'B': 'A B C'.split(' ') * 8,
        'C': 'Hola adios Como Estas Adios Estas'.split(' ') * 4,
        'D': np.random.randint(0, 10, 24),
        'E': np.random.randn(24),
        'F': pd.date_range("10/11/2011", periods=24)}

harpiechoise

import pandas as pd
import numpy as np
# Crear un multi index desde tuplas
indices = [('Santiago', 2000), ('Santiago', 2010),
           ('California', 2000), ('California', 2010),
           ('New York', 2000), ('New York', 2010)]
m_indice = pd.MultiIndex.from_tuples(indices)
df = pd.DataFrame([33871648, 37253956, 18976457, 19378102, 20851820, 25145561],
                  columns=['Poblacion'], index=m_indice)
print(df)

harpiechoise

import pandas as pd

# Concatenacion
a = pd.DataFrame({'Numero': [60, 30],
                  'Animal': ['Panda', 'Leon']})

b = pd.DataFrame({'Peso': [600, 120],
                  'Patas': [4, 4]})

# Concatenar en filas

harpiechoise

import numpy as np
import pandas as pd  # Importamos pandas bajo el pseudonimo

# Rango de fechas 8 dias
fechas = pd.date_range('27/2/2019', periods=8)
# Creo un dataframe
df = pd.DataFrame(np.random.random((8, 4)), index=fechas,
                  columns=['A', 'B', 'C', 'D'])

# Extraigo una Serie del dataframe