The left one image is in jupiter notebook and the right one is from datacamp exercises. Can anyone please let me know why I am getting different results in Jupiter? Used hacker statistics to calculate the chances of winning a bet. Used random number generators, loops, and Matplotlib to gain a competitive edge!
import numpy as np import matplotlib.pyplot as plt np.random.seed(123) # Simulate random walk 500 times all_walks =  for i in range(500) : random_walk =  for x in range(100) : step = random_walk[-1] dice = np.random.randint(1,7) if dice <= 2: step = max(0, step - 1) elif dice <= 5: step = step + 1 else: step = step + np.random.randint(1,7) if np.random.rand() <= 0.001 : step = 0 random_walk.append(step) all_walks.append(random_walk)
Create and plot np_aw_t
np_aw_t = np.transpose(np.array(all_walks))
Select last row from np_aw_t: ends
ends = np_aw_t[-1, :]