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✅Python Interview Questions with Answers 🧑‍💻👩‍💻 1️⃣ Write a function to remove outliers from a list using IQR.

import numpy as np

def remove_outliers(data):
    q1 = np.percentile(data, 25)
    q3 = np.percentile(data, 75)
    iqr = q3 - q1
    lower = q1 - 1.5 * iqr
    upper = q3 + 1.5 * iqr
    return [x for x in data if lower <= x <= upper]

2️⃣ Convert a nested list to a flat list.

nested = [[1, 2], [3, 4],]
flat = [item for sublist in nested for item in sublist]

3️⃣ Read a CSV file and count rows with nulls.

import pandas as pd

df = pd.read_csv('data.csv')
null_rows = df.isnull().any(axis=1).sum()
print("Rows with nulls:", null_rows)

4️⃣ How do you handle missing data in pandas? ⦁ Drop missing rows: df.dropna() ⦁ Fill missing values: df.fillna(value) ⦁ Check missing data: df.isnull().sum() 5️⃣ Explain the difference between loc[] and iloc[]. ⦁ loc[]: Label-based indexing (e.g., row/column names) Example: df.loc[0, 'Name'] ⦁ iloc[]: Position-based indexing (e.g., row/column numbers) Example: df.iloc 💬 Tap ❤️ for more!

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✅Python Interview Questions with Answers 🧑‍💻👩‍💻 1️⃣ Write a function to remove outliers from a list using IQR.

import numpy as np

def remove_outliers(data):
    q1 = np.percentile(data, 25)
    q3 = np.percentile(data, 75)
    iqr = q3 - q1
    lower = q1 - 1.5 * iqr
    upper = q3 + 1.5 * iqr
    return [x for x in data if lower <= x <= upper]

2️⃣ Convert a nested list to a flat list.

nested = [[1, 2], [3, 4],]
flat = [item for sublist in nested for item in sublist]

3️⃣ Read a CSV file and count rows with nulls.

import pandas as pd

df = pd.read_csv('data.csv')
null_rows = df.isnull().any(axis=1).sum()
print("Rows with nulls:", null_rows)

4️⃣ How do you handle missing data in pandas? ⦁ Drop missing rows: df.dropna() ⦁ Fill missing values: df.fillna(value) ⦁ Check missing data: df.isnull().sum() 5️⃣ Explain the difference between loc[] and iloc[]. ⦁ loc[]: Label-based indexing (e.g., row/column names) Example: df.loc[0, 'Name'] ⦁ iloc[]: Position-based indexing (e.g., row/column numbers) Example: df.iloc 💬 Tap ❤️ for more!

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// Update timeline data document.getElementById('monthsToGoal').textContent = results.monthsToGoal; document.getElementById('weeksToGoal').textContent = results.weeksToGoal; document.getElementById('weightToLose').textContent = results.weightToLose; document.getElementById('targetWeight').textContent = results.targetWeight; document.getElementById('caloriesPerDay').textContent = results.caloriesPerDay; document.getElementById('tdee').textContent = results.tdee; } // Update body composition (shown for both cases) document.getElementById('currentBodyFat').textContent = results.currentBodyFat + '%'; document.getElementById('targetBodyFat').textContent = results.targetBodyFat + '%'; document.getElementById('leanBodyMass').textContent = results.leanBodyMass; } function resetCalculator() { currentStep = 1; formData = { name: '', gender: '', weight: '', height: '', age: '', activityLevel: '', bodyFat: '' }; // Clear all form inputs document.querySelectorAll('input').forEach(input => input.value = ''); // Clear all selections document.querySelectorAll('.selected').forEach(el => el.classList.remove('selected', 'male', 'female', 'activity') ); // Show first step showStep(1); } // API Integration Function (for when you want to connect to PHP backend) async function saveToDatabase(calculationData) { try { const response = await fetch('api/calculate.php', { method: 'POST', headers: { 'Content-Type': 'application/json', }, body: JSON.stringify({ ...formData, session_id: getSessionId(), ...calculationData }) }); const result = await response.json(); if (result.success) { console.log('Calculation saved with ID:', result.calculation_id); } else { console.error('Failed to save calculation:', result.message); } } catch (error) { console.error('API Error:', error); } } function getSessionId() { let sessionId = localStorage.getItem('abs_calc_session'); if (!sessionId) { sessionId = 'session_' + Math.random().toString(36).substr(2, 9) + Date.now(); localStorage.setItem('abs_calc_session', sessionId); } return sessionId; } </script> </body> </html>

if (gender === 'male') { return 88.362 + (13.397 * weight) + (4.799 * height) - (5.677 * age); } else { return 447.593 + (9.247 * weight) + (3.098 * height) - (4.330 * age); } } function calculateResults() { const weight = parseFloat(formData.weight); const height = parseFloat(formData.height); const age = parseInt(formData.age); const bodyFatPercent = parseFloat(formData.bodyFat); const gender = formData.gender; const activityLevel = formData.activityLevel; // Calculate lean body mass const leanBodyMass = weight * (1 - bodyFatPercent / 100); // Target body fat for visible abs const targetBodyFat = gender === 'male' ? 12 : 16; // Calculate target weight for abs const targetWeight = leanBodyMass / (1 - targetBodyFat / 100); // Weight to lose const weightToLose = Math.max(0, weight - targetWeight); // Calculate BMR and TDEE const bmr = calculateBMR(weight, height, age, gender); const tdee = bmr * activityLevels[activityLevel].multiplier; // Time estimation (0.5 kg per week) const weeksToGoal = weightToLose > 0 ? Math.ceil(weightToLose / 0.5) : 0; const monthsToGoal = Math.ceil(weeksToGoal / 4.33); // Calories for fat loss (500 calorie deficit) const caloriesPerDay = tdee - 500; // Check if already lean enough const isAlreadyLean = bodyFatPercent <= targetBodyFat; // Update results display displayResults({ currentWeight: weight, targetWeight: targetWeight.toFixed(1), weightToLose: weightToLose.toFixed(1), leanBodyMass: leanBodyMass.toFixed(1), currentBodyFat: bodyFatPercent, targetBodyFat: targetBodyFat, bmr: Math.round(bmr), tdee: Math.round(tdee), weeksToGoal: weeksToGoal, monthsToGoal: monthsToGoal, caloriesPerDay: Math.round(caloriesPerDay), isAlreadyLean: isAlreadyLean }); } function displayResults(results) { // Update titles if (results.isAlreadyLean) { document.getElementById('resultsTitle').textContent = '🎉 You already have abs!'; document.getElementById('resultsSubtitle').textContent = (formData.name ? formData.name + ', ' : '') + "you're already lean enough to see abs!"; // Show already lean section, hide timeline document.getElementById('alreadyLeanSection').classList.remove('hidden'); document.getElementById('timelineSection').classList.add('hidden'); document.getElementById('alreadyLeanText').textContent = Congratulations! At ${results.currentBodyFat}% body fat, your abs should already be visible.; } else { document.getElementById('resultsTitle').textContent = '🎯 Your Abs Journey'; document.getElementById('resultsSubtitle').textContent = (formData.name ? formData.name + ', ' : '') + "here's your personalized timeline"; // Show timeline section, hide already lean document.getElementById('timelineSection').classList.remove('hidden'); document.getElementById('alreadyLeanSection').classList.add('hidden');