How to calculate a logistic sigmoid function in Python?

Question

This is a logistic sigmoid function:

I know x. How can I calculate F(x

Answer 1

you can calculate it as :

import math
def sigmoid(x):
  return 1 / (1 + math.exp(-x))

or conceptual, deeper and without any imports:

def sigmoid(x):
  return 1 / (1 + 2.718281828 ** -x)

or you can use numpy for matrices:

import numpy as np #make sure numpy is already installed
def sigmoid(x):
  return 1 / (1 + np.exp(-x))