Data Science, Pyspark, Data Analytics, Machine Learning, Artificial Intelligence.
for simulation in range(num_simulations): task1 = np.random.uniform(x1[0], x1[1], simulation) task2 = np.random.uniform(x2[0], x2[1], simulation) timeToComplete = task1 + task2 success_rate = (timeToComplete <= daysInSprint).sum() / (simulation+1) # Assuming i + 1 as the current simulation count