NOTE:- Please need an answer for this question and use only python language and numpy library to answer this question.

Go through the provided links on Poisson and exponential distributions as the Math for ML textbook in your course site is not covering enough these important distributions. Watch this video https://www.youtube.com/watch?v=Asto3RS46ks where the author is explaining how to simulate a Poisson distribution from scratch. 1. Using the Kaggle API download this dataset and plot the histogram of the number of cyclists that cross the Brooklyn bridge per day. 2. Simulate the number of cyclists that cross the Brooklyn bridge per day using the Poisson distribution. Ensure that the simulated counts are similar distribution-wise to the observed counts. \# Type the Python code here and ensure you save the notebook with the results of the code execu