How to fix Floating-point precision error when rounding numbers in Python wi... in Python
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We're excited to share with you our newest video, "How to solve Floating-point precision error when rounding numbers in Python with standard float type. in Python". 🎥 This series is meticulously designed to arm you with knowledge 🧠 and skills 🛠️ to overcome frequent coding challenges.
Today, we will decipher 🔎 and resolve a common error faced by Python coders: the bit hard to solve Floating-point precision error when rounding numbers in Python with standard float type.. Here is a snapshot of the code of the video:
Troubling Scenario: ❗️
num = 0.1 + 0.2
print(num) # Expected output: 0.3
Unwanted Result: 🚫
Floating-point precision error when rounding numbers in Python with standard float type.
Effective Resolution: ✔️
from decimal import Decimal
num = Decimal('0.1') + Decimal('0.2')
print(num) # Expected output: 0.3
Desired Output: 🏁
0.3
In this detailed walkthrough, we will illuminate 💡 the underlying cause of this error, and offer a comprehensive explanation: In Code1, due to floating-point precision errors inherent in binary floating-point representation, 0.1 + 0.2 doesn't exactly equal 0.3. Code2 uses the Decimal module to avoid such precision errors, thus accurately yielding 0.3. 🎯
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