Skip to main content

how come 2-√2×√2 is not zero, is all programming wrong?


 

 

 ## Why 2-√2×√2 ≠ 0 in Python: A Tale of Floating-Point Frustration 


Have you ever coded in Python and gotten a surprising result?   Let's say you try this:


```python

x=2

result = x - (2**.5) * (2**.5)

print(result)

 


You might expect the answer to be zero, since 2**(1/2) times itself is 2 , and 2 minus itself is zero, right? ➖  But hold on!  Python might print something like:


```

0.0000000000000004

```


What's going on here?    The culprit is something called **floating-point arithmetic**.  Computers store numbers in a special way, kind of like having a limited number of decimal places for everything.    This means super precise numbers like the square root of 2 can't be stored perfectly.  


In this case, that tiny imperfection in storing √2 gets carried over when we subtract it from 2.  The result is a small, non-zero value.    It's like trying to perfectly measure ingredients with a teaspoon – there's always a little leftover! 


**Key points to remember:** 


* Floating-point math is super useful, but it's not perfect for ultra-precise calculations.

* Not all calculations will equal exactly what you expect.

* For super precise work, there are special Python libraries designed for high-accuracy math. 


So next time you see a surprising result in Python, remember the floating-point gremlins might be at play!  Just a sprinkle of awareness can help you understand what's going on behind the scenes. 


Interactive example:


Comments

Popular posts from this blog

Getting started with FEOS, the framework for Equation of state by iit/univ Stuttgart and eth/zurich

     🌟 Exploring FEOS: The State-of-the-Art Equation of State Framework by IIT Stuttgart and ETH Zurich 🌟 Hey there, fellow science enthusiasts! 👋 Are you ready to dive into the captivating world of equation of state frameworks? Well, hold onto your lab coats because today, we're exploring FEOS – the cutting-edge framework developed by the brilliant minds at IIT Stuttgart and ETH Zurich! 🚀 ### Unraveling the Mysteries of FEOS 🔍 Equation of state (EOS) plays a pivotal role in various scientific disciplines, ranging from physics and chemistry to material science and engineering. It's the cornerstone for understanding the thermodynamic properties of matter under different conditions. And when it comes to precision and reliability, FEOS stands tall among its peers. 📏 ### The Powerhouse Collaboration: IIT Stuttgart & ETH Zurich 🤝 FEOS is not just another run-of-the-mill framework; it's the result of a powerhouse collaboration between the renowned institutions – IIT ...

creating numerical arrays with logic

  **Title: Navigating Numerical Spaces with NumPy: arange vs linspace vs logspace** When it comes to generating numerical sequences in Python, NumPy offers a plethora of options, each tailored to specific needs. Among these, `arange`, `linspace`, and `logspace` stand out as versatile tools for crafting arrays. Let’s embark on a journey through these functions, exploring their nuances and applications! 🚀 ### The Basics: arange NumPy’s `arange` function is akin to Python’s built-in `range`, but with the added capability of generating arrays with non-integer steps. It’s your go-to tool for creating sequences with regular spacing. ```python import numpy as np # Syntax: np.arange(start, stop, step) arr = np.arange(0, 10, 2) print(arr) # Output: [0 2 4 6 8] ``` think of it as points in an closed/open interval [a,b) with step s between each point  🧩 **Use Case**: When you need control over the step size and want a compact syntax. ### The Uniform Choice: linspace `linspace` divides...

what is @something on a function, i heard it is for decoration?!

  Title: 🎨 Exploring Python Decorators: Adding Magic to Your Code! ✨ Python decorators are like the fairy godmothers of programming—they sprinkle a little magic onto your functions, enhancing them with extra functionality. In this blog post, we'll dive into the enchanting world of decorators, exploring how they work and unleashing their powers with two whimsical examples. **Example 1: The Enigmatic @echo Decorator** Imagine a decorator that echoes the inputs and outputs of a function, adding a touch of sparkle to the console. Behold, the @echo decorator! ```python def echo(func):     def wrapper(*args, **kwargs):         print("✨ Echoing inputs:")         for arg in args:             print(f"\t- {arg}")         result = func(*args, **kwargs)         print("✨ Echoing output:")         print(f"\t- {result}")         return re...