10 × 0.1 ≠ 1 in JavaScript?! 😱 Math.sumPrecise() Finally Fixes It | ES2026
Add 0.1 ten times in JavaScript and you get 0.9999999999999999, not 1! In this video, learn Math.sumPrecise(), the new ES2026 JavaScript feature that adds numbers accurately and fixes the floating-point error that reduce() and for loops create.
Math.sumPrecise in Hindi: is video mein hum dekhenge ki reduce() se sum karne mein rounding error kyun aata hai, aur JavaScript ka naya Math.sumPrecise() method isko kaise fix karta hai — simple examples ke saath.
🔥 What you'll learn:
✅ Why 10 × 0.1 gives 0.9999999999999999 with reduce()
✅ What Math.sumPrecise() is and how it works
✅ reduce() vs Math.sumPrecise() — step-by-step rounding error explained
✅ Real use case: e-commerce cart total and billing
✅ How to calculate an accurate average in JavaScript
✅ Big number bug: why [1e20, 0.1, -1e20] gives 0 with reduce()
✅ What Math.sumPrecise() does NOT fix (the 0.1 + 0.2 problem)
✅ Is reduce() still useful? When to use Math.max, Object.groupBy and Object.fromEntries
✅ Browser and Node.js support + core-js polyfill
#javascript #es2026 #mathsumprecise
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⌛TIMELINE⏳
0:00 10 Paise × 10 = ? A Simple Math Question
0:20 Why JavaScript reduce() Gives the Wrong Sum (0.9999999999999999)
0:50 Math.sumPrecise() – New ES2026 Method to Fix Floating-Point Errors
2:02 Node.js Live Online Class – Enroll Now
2:30 How Math.sumPrecise() Gives the Correct Answer
3:01 Animation: reduce() vs Math.sumPrecise() – How Each Works Step by Step
3:40 Example 2: Math.sumPrecise() Wins Again (Big Number Bug)
5:00 Real-World Use Cases of Math.sumPrecise() – Cart Total & Billing
6:18 Accurate Average in JavaScript with Math.sumPrecise()
7:30 reduce() vs Math.sumPrecise() – Which One Is Best?
7:55 When Both Fail – Math.sumPrecise() Limitations (0.1 + 0.2)
9:40 When reduce() and Math.sumPrecise() Give the Same Result
11:10 Outro – Next ES2026 Feature