new_contents: import numpy as np
  from matplotlib import pylab as plt
  
  np.random.seed(31415926)  # Set a seed for reproducibility
  
  N_STEPS = 1000
  random_data = np.random.randint(0, 2, N_STEPS)
  # A symmetric random walk
  random_walk = np.where(random_data > 0, 1, -1).cumsum()
  
  
  N_WALKS = 1000
  random_data_matrix = np.random.randint(0, 2, size=(N_WALKS, N_STEPS))
  
  # Multiple symmetric random walks
  multiple_random_walks = np.where(random_data_matrix > 0, 1, -1).cumsum(axis=1)
  
subject: Add a symmetric random walk script