Just need the code in Python

1. Load Boston Housing Data and display few rows 2. Find the minimum and maximum price (MEDV) 3. develop several binning strategies for prices (MEDV). For example: using range 5 to 51 with step 5 , then print the count in each bin 4. Draw histograms using several binning variations 5. write a method empirical_hist_price which takes the number of samples as an argument and draws the corresponding histogram for the prices from the selected sample 6. use the method to draw a sample of 400 individuals 1. Load Boston Housing Data and display few rows 2. Find the minimum and maximum price (MEDV) 3. develop several binning strategies for prices (MEDV). For example: using range 5 to 51 with step 5 , then print the count in each bin 4. Draw histograms using several binning variations 5. write a method empirical_hist_price which takes the number of samples as an argument and draws the corresponding histogram for the prices from the selected sample 6. use the method to draw a sample of 400 individuals