Floating-Point Follies : When Your Computer Can’t Do Basic Math
<p>Greetings, code wranglers and binary whisperers! Today, we’re diving headfirst into the wacky world of floating-point numbers. You know, those pesky decimals that make your computer seem like it flunked out of kindergarten math. Buckle up, because things are about to get hilariously precise!</p>
<h2><strong>The Basics of Floating-Point Numbers</strong></h2>
<p>Let’s start with a simple question: What’s 2.3 times 100? If you said 230, congratulations! You’re smarter than a computer. Don’t believe me? Let’s ask our silicon-brained friend:</p>
<pre>
public static void main(String[] args) {
double a = 2.3;
double b = a * 100;
System.out.println("Result: " + b);
}</pre>
<p>And the computer says… <code>Result: 229.99999999999997</code>. Wait, what? Did our computer just fail basic arithmetic?</p>
<p> </p>
<h1>The IEEE 754 Standard: A Comedy of Errors</h1>
<p>The culprit behind this numerical nonsense is the IEEE 754 standard. It’s like the rulebook for how computers handle floating-point numbers. The problem? It’s written in binary. And as anyone who’s tried to read a rulebook in a foreign language can tell you, things can get lost in translation.</p>
<p><a href="https://medium.com/@zuhayr.codes/floating-point-follies-when-your-computer-cant-do-basic-math-6b0a5ba2fbcb">Click Here</a></p>