You can ignore what is said about Python and coding. Just answer the math questions

There were 151 "pokemon" in the original generation of the popular franchise. Suppose you start purchasing pokemon cards. Each card you purchase has a pokemon chosen independently and uniformly at random from the 151 possible with replacement (that is, you can get the same card multiple times). Use Monte Carlo Simulation to estimate answers to the following questions. You can use Python's random library or the numpy.random library. 1. Suppose you have a particular favorite pokemon. Suppose you purchase 150 cards total. What is the probability that you will get your favorite pokemon's card? Conduct enough simulations that you are confident in your answer +/- 0.01 (or 1%). 2. Suppose you purchase 300 cards total. What is the expected number of unique pokemon cards that you will have? Conduct enough simulations that you are confident in your answer +/- 1 card. 3. Suppose you buy 600 cards total. What is the probability that you will have all 151 unique cards? Conduct enough simulations that you are confident in your answer +/- 0.01 (or 1%)