0.30000000000000004
Floating Point Math Examples (by erikwiffin)
SoftFloat-3a
SoftFloat-3a for Hercules. This is a modification of Dr. John Hauser’s SoftFloat-3a package. File COPYING.txt contains copyright and license information. File BUILDING.txt contains instructions to build SoftFloat-3a For Hercules. For complete information about the changes made to SoftFloat-3a, visit the package Wiki: (by hercules-390)
| 0.30000000000000004 | SoftFloat-3a | |
|---|---|---|
| 250 | 1 | |
| 1,465 | 9 | |
| 0.8% | - | |
| 2.0 | 10.0 | |
| 12 months ago | about 6 years ago | |
| CSS | C | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
0.30000000000000004
Posts with mentions or reviews of 0.30000000000000004.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2025-03-11.
-
How to detect and fix flaky tests in Pytest
This is due to the way floating point numbers are represented in memory, certain numbers like 0.3 are stored as a number very close to the original value (0.30000000000000004), but not the exact same. This problem also exists in other languages like JavaScript and C++, but is much more likely to cause problems in common applications of Python like machine learning and data science.
- Floating Point Math
- 0.1 and 0.2 = 0.30000000000000004
- 0.30000000000000004
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What even is a JSON number?
https://0.30000000000000004.com/
Although it would be good to move in the direction of using a BigDecimal equivalent by default when ingesting unknown data.
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Working with Numpy floats and Forex financial instruments
There's no such thing as precision for floats. Floating-point calculations are always inaccurate: read this: https://0.30000000000000004.com/
- Just learned the difference between decimal and float
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how do i make the decimals not fucked up
Edit: This specific example even has its own website: https://0.30000000000000004.com/
SoftFloat-3a
Posts with mentions or reviews of SoftFloat-3a.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-01-15.
What are some alternatives?
When comparing 0.30000000000000004 and SoftFloat-3a you can also consider the following projects:
glibc - Unofficial mirror of sourceware glibc repository. Updated daily.
gcc
proposal-decimal - Built-in exact decimal numbers for JavaScript
s2geometry - Computational geometry and spatial indexing on the sphere
v8.dev - The source code of v8.dev, the official website of the V8 project.