Media Summary: Let's face it, floats suck, they can't even be trusted to You might have seen these strange long numbers before and if you are watching this video, you probably want to know why it ... Join my Patreon: Discord: Follow me on Twitter: ...
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110 Python Floating Point Accuracy - Detailed Analysis

Let's face it, floats suck, they can't even be trusted to You might have seen these strange long numbers before and if you are watching this video, you probably want to know why it ... Join my Patreon: Discord: Follow me on Twitter: ... In this video, we will discuss the decimal module in Computers need to store real-numbered values, but how do they do it? There are multiple choices for how we could represent ... Have you ever wondered what happens if we compare 0.1+0.2 with 0.3 ? Simple task right? Where as checking it in

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110-Python-Floating Point Accuracy
THIS Is How You SHOULD Be Comparing FLOATS (Accurately) In Python
Floating Point Numbers - Computerphile
0.1 + 0.2 = 0.30000000000000004. Floating point precision problem.
Why Is This Happening?! Floating Point Approximation
Decimal Module in Python For Accurate Floats
How Floating-Point Numbers Are Represented
Python 3.7: Floating-point Number Inaccuracies In Python
Python: Why Are Floating Point Calculations So Inaccurate in Python
Surprising Floating Point Arithmetic in Python
Python: What is a Floating Point Number?
Why 0.1 + 0.2 ≠ 0.3 in Python (and How to Fix It) | Ep 04 of 20
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