basic-perceptron.py

class BasicPerceptron(object):
    def __init__(self, weights, bias):
        self.weights = weights
        self.threshold = bias * -1
    def run(self, inputs):
        input_weight_pairs = zip(inputs, self.weights)
        sum_ = 0.0
        for input_, weight in input_weight_pairs:
            sum_ += input_ * weight
        return 0 if sum_ <= self.threshold else 1

Example:

nand = BasicPerceptron((-2, -2), 3)
nand.run((0, 0)) # 1
nand.run((0, 1)) # 1
nand.run((1, 0)) # 1
nand.run((1, 1)) # 0