Python Program to Implement BMI (Body Mass Index) Calculator # getting input from the user and assigning it to userheight=float(input("Enter height in meters: "))weight=float(input("Enter weight in kg: "))# the formula for calculating bmibmi=weight/(height**2)# ** is the power of op...
if bmi <= 25.0 return "Normal" if bmi <= 30.0 return "Overweight" if bmi > 30 return "Obese" Solution defbmi(weight, height):# Check for valid inputsifweight <=0orheight <=0:returnNone# Calculate BMI using the formulabmi = weight / height **2# Return the corresponding category bas...
Calculates the BMI using the formula: BMI = (weight in pounds * 703) / (height in inches * height in inches) Displays the BMI value and categorizes it as: Underweight Normal weight Overweight Obese Severely Obese Morbidly Obese Usage: Run the script and follow the prompts to enter your de...
Method 1 – Using the IF Function to Calculate BMI in Excel In this method, we’ll calculate the Body Mass Index (BMI) using the standard formula and then determine the body status using theIFfunction. Follow these steps: OpenyourExcel filewith the relevant data (names, heights, and weight...
The Body Mass Index is calculated by dividing a person's weight in kilograms by the square of their height in meters (BMI = kg/m^2).Let's try to understand through an example taking input and output scenario:Height = 170 cm Weight = 64 kg Formula (BMI) = Weight in kg / ((height...
我想要达到的目标: var imperialCalc = Math.round(stone*14+pounds/(feet*12+inches)*(feet*12+inches))*703; // BMIFormula体重指数 浏览1提问于2015-09-23得票数 1 回答已采纳 2回答 计算身体质量指数(BMI) 、 这是一个计算某人体重指数的HTML / JavaScript应用程序。该应用程序将度量转换为标准度量,并...
The following formula was used to estimate the sample size: Where STATISTICAL METHODS: Normality of data distribution was tested with the Shapiro-Wilk test. All results presented in the text and tables are expressed as averages±standard deviation or numbers. PFWD, MCD, and ICQ score parameters ...
最近ThinkPHP框架出现了一个比较严重的漏洞，在没有开启强制路由的情况下可能的getshell漏洞，受影响的...
If ieos_type=1, needs two new parameters: eos_[a,b] for linear function; R2789: added 'sed_morph_time' in sediment.in; R2768: restored Manning's friction option (bfric=-1) and related 'hmin_man'. Note that if you use this option, Manning's formula will be applied to ALL ...
[i]) for i in range(S.size(0))] + + # recursion of gradient formula (separate terms for stability) + _N_, _P_ = recursion(_S_, _X_, j) + + # deal with edge case where _N_ or _P_ is 0 instead of a LogTensor (happens for k=2): + # fill with large negative ...