Using %mprun: Hero BMIYou'd like to calculate the body mass index (BMI) for a selected sample of heroes. BMI can be calculated using the below formula:A random sample of 25,000 superheroes has been loaded into your session as an array called sample_indices. This sample is a list of indices that corresponds to each superhero's index selected from the heroes list.A function named calc_bmi_lists has also been created and saved to a file titled bmi_lists.py. For convenience, it is displayed below:def calc_bmi_lists(sample_indices, hts, wts): # Gather sample heights and weights as lists s_hts = [hts[i] for i in sample_indices] s_wts = [wts[i] for i in sample_indices] # Convert heights from cm to m and square with list comprehension s_hts_m_sqr = [(ht / 100) ** 2 for ht in s_hts] # Calculate BMIs as a list with list comprehension bmis = [s_wts[i] / s_hts_m_sqr[i] for i in range(len(sample_indices))] return bmisNotice that this function performs all necessary calculations using list comprehension (hence the name calc_bmi_lists()). Dig deeper into this function and analyze the memory footprint for performing your calculations using lists:Load the memory_profiler package into your IPython session.Import calc_bmi_lists from bmi_lists.Once you've completed the above steps, use %mprun to profile the calc_bmi_lists() function acting on your superheroes data. The hts array and wts array have already been loaded into your session.After you've finished coding, answer the following question:How much memory do the list comprehension lines of code consume in the calc_bmi_lists() function? (i.e., what is the total sum of the Increment column for these four lines of code?)

A random sample of 25,000 superheroes has been loaded into your session as an array called sample_indices. This sample is a list of indices that corresponds to each superhero's index selected from the heroes list.A function named calc_bmi_lists has also been created and saved to a file titled bmi_lists.py. For convenience, it is displayed below:def calc_bmi_lists(sample_indices, hts, wts): # Gather sample heights and weights as lists s_hts = [hts[i] for i in sample_indices] s_wts = [wts[i] for i in sample_indices] # Convert heights from cm to m and square with list comprehension s_hts_m_sqr = [(ht / 100) ** 2 for ht in s_hts] # Calculate BMIs as a list with list comprehension bmis = [s_wts[i] / s_hts_m_sqr[i] for i in range(len(sample_indices))] return bmisNotice that this function performs all necessary calculations using list comprehension (hence the name calc_bmi_lists()). Dig deeper into this function and analyze the memory footprint for performing your calculations using lists:Load the memory_profiler package into your IPython session.Import calc_bmi_lists from bmi_lists.Once you've completed the above steps, use %mprun to profile the calc_bmi_lists() function acting on your superheroes data. The hts array and wts array have already been loaded into your session.After you've finished coding, answer the following question:How much memory do the list comprehension lines of code consume in the calc_bmi_lists() function? (i.e., what is the total sum of the Increment column for these four lines of code?)

Create a function of name get_bmi() that receive the weight in kilograms and height in centimeter of a person and return his or her Body Mass index (BMI). The function should convert the height to meters before calculating the BMI.Height in meter = height in centimeter / 100BMI = weight in kilogram / (height in meter * height in meter)For example:Test Resultprint("BMI value:", round(get_bmi(60, 160),1))BMI value: 23.4print("BMI value:", round(get_bmi(85, 170),1))BMI value: 29.4

Use np_height_m and np_weight_kg to calculate the BMI of each player. Use the following equation: BMI=weight(kg)height(m)2Save the resulting numpy array as bmi

Given height and weight of a person in float, calculate Body Mass index of the person and print respective output based on calculation. Formulae for calculation: [weight (kg) / height (cm) / height (cm)] x 10,000 .For Example: weight =76.7 , height=162.2 BMI=((76.7/162.2)/162.2)X 10,000BMI=(0.4728/162.2)X 10,000 BMI=0.000291X 10,000 BMI=29.1 So, it is Overweight.Print "Underweight" or "Healthy weight" or "Overweight" or "Obesity". Below 18.5        Underweight 18.5 – 24.9        Healthy weight 25.0 – 29.9       Overweight 30.0 and Above      ObesityInput Format:Accept two inputs, weight(float) and height(float)Output Format:Print "Underweight" or "Healthyweight" or "Overweight" or "Obesity"Constraints:1<=N<=10^15Sample Input 1:46.5 165.3Sample Output 1:UnderweightSample Input 2:76.7 162.2Sample Output 2:Overweight

Traceback (most recent call last): File "main.py", line 8, in <module> bmi = height / (weight * weight)TypeError: can't multiply sequence by non-int of type 'str'