measure distance between two points in python

I'm working in a function that generates isochrones for a project of mine and I'm facing a bottleneck performing some distance calculations.

Here is what I'm doing:

def distanciapunto(row, punto):
    try:
        geometriarow = transform(transformer.transform, row["geometry"])
        geometriapunto = transform(transformer.transform, punto)
        distancia = geometriarow.distance(geometriapunto)
        return distancia
    except AttributeError:
        return 10000
dfinterno["distancia"] = dfinterno.apply(lambda row: distanciapunto(row, p), axis=1)

Is there a way to make this faster?

Minimal reproducible example:

from shapely.geometry import Point, LineString
from functools import partial
import pyproj
from shapely.ops import transform
import pandas as pd

def distanciapunto(row, punto, transformer):
    try:
        geometriarow = transform(transformer, row["geometry"])
        geometriapunto = transform(transformer, punto)
        distancia = geometriarow.distance(geometriapunto)
        return distancia
    except AttributeError:
        return 10000

dfinterno = pd.DataFrame({
    "geometry": [LineString([(0, 0), (3, 4)]), LineString([(2, 2), (5, 6)]), LineString([(1, 1), (4, 5)])]
})
transformer = partial(pyproj.transform, pyproj.Proj(init='EPSG:4326'), pyproj.Proj(init='EPSG:22185'))
p = Point(1, 1)    
dfinterno["distancia"] = dfinterno.apply(lambda row: distanciapunto(row, p, transformer), axis=1)

print(dfinterno["distancia"])