import random

class RandomWalker:
    def __init__(self):
        self.position = 0

    def walk(self, n):
        self.position = 0
        for i in range(n):
            yield self.position
            self.position += 2*random.randint(0, 1) - 1

walker = RandomWalker()

%timeit -n 1000 -r 10 [position for position in walker.walk(1000)]

import random

def random_walk(n):
    position = 0
    walk = [position]
    for i in range(n):
        position += 2*random.randint(0, 1)-1
        walk.append(position)
    return walk

%timeit -n 1000 -r 10 random_walk(1000)

import numpy as np

def random_walk_numpy(n):
    steps = np.random.choice([-1, +1], n)
    return np.cumsum(steps)

%timeit -n 1000 -r 10 random_walk_numpy(1000)

import numpy as np

x = np.array([1, 2, 42, 42, 42])

print(x)
print(type(x))

import numpy as np

a = np.arange(15).reshape(3, 5)
a

a.size

a.ndim

a.shape

a.dtype.name

a.itemsize