Markov Chains, Computer Science, Programming, Probability, Problem Solving.
range(i): # Iterate up to i if j >= i: break chars += random.choice(string.ascii_lowercase) words.append(chars) return words # Example usage: result = random_chars(10) print(result) import string states = random_chars(20) markov_chain_creator = MarkovChainCreator(states)