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The Engineering Projects
theengineeringprojects.com โ€บ home โ€บ blog โ€บ python โ€บ floating-point and integer numbers in python
Floating-Point and Integer Numbers in Python - The Engineering Projects
March 10, 2022 - Raising a number to power 0.5 implies taking the square root of that number. The square root of nine is a float, thus even though nine`s data type is an int, Python generates a float 3.0. If both operands of an expression are integers, the ** operator returns an integer and if one of the operands is floating-point number it returns a float.
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Python documentation
docs.python.org โ€บ 3 โ€บ tutorial โ€บ floatingpoint.html
15. Floating-Point Arithmetic: Issues and Limitations โ€” Python 3.14.3 documentation
Floating-point numbers are represented in computer hardware as base 2 (binary) fractions. For example, the decimal fraction 0.625 has value 6/10 + 2/100 + 5/1000, and in the same way the binary fraction 0.101 has value 1/2 + 0/4 + 1/8.
Discussions

[Python] Adding floating point number causes precision issues for some numbers but not othera.
See here . This is specific to a widely-used way of representing decimal numbers. This isn't specific to Python. More on reddit.com
๐ŸŒ r/learnprogramming
8
0
January 9, 2024
Is floating point math deterministic?
Ok r/programming , it looks like we need to have a discussion on what it means to be "deterministic". Deterministic means that given some input, will a operation produce the same output every time. So, for example, lets say you have a function that says add(a, b); that function always returns 4 when a = 2 and b = 2, then that function is deterministic. If that function always returns 7 when given a = 2 and b = 2, that function is STILL deterministic. If that function always returns 3 when a = 2 and b = 2 and the micro architecture is a ARM version 7 processor, that function is STILL deterministic. The key is that the function ALWAYS returns the same result given a certain input regardless of if the result is correct or not. Deterministic means something behaves exactly the same way given the same input. It has nothing to do with compiler optimization, architecture differences, or data representation limitations. A piece of code that behaves differently across platforms is still deterministic, but inconsistent across platforms. In that light, it should be clear that floating point math IS deterministic. Processors don't randomly spit out numbers when you tell them to add two floating points, the answer is predictable. It may be different across platforms, but it is still consistent. When it is inconsistent, generally the processor has more issues and is due to cause the system to crash. If it was not deterministic, we would have a source for good solid random numbers on all platforms. We could do floating point math on a couple of static numbers, and then pull off the last bits of the results. Viola, real random numbers done quickly. Alas, floating point math is deterministic and that doesn't work (hence, nobody does it). More on reddit.com
๐ŸŒ r/programming
197
121
October 1, 2011
Random Floating Point Number

You can use Distributions.jl:

using Distributions

rand(Uniform(a, b))
More on reddit.com
๐ŸŒ r/Julia
6
6
May 12, 2017
Do floating point number concerns still hold when dealing with Currency in Python 3? Seems like most articles/concerns were on 2.7 which handled things differently.

If you're dealing with currency, use the decimal module. Floats in Python 3 are still just C doubles, meaning they're subject to all the usual IEEE 754 issues.

More on reddit.com
๐ŸŒ r/Python
8
4
September 26, 2017
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freeCodeCamp
forum.freecodecamp.org โ€บ guide
How to use Python Floating Point Numbers - Explained with Examples - Guide - The freeCodeCamp Forum
September 8, 2019 - Some general information about floating point numbers and how they work in Python, can be found here. Nearly all implementations of Python follow the IEEE 754 specification: Standard for Binary Floating-Point Arithmetic. More information found on the IEEE site.
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GeeksforGeeks
geeksforgeeks.org โ€บ python โ€บ float-in-python
float() in Python - GeeksforGeeks
September 18, 2025 - In Python, the float() function is used to convert numbers or numeric strings into floating-point numbers. A floating-point number is simply a number with a decimal point (for example, 3.14, -0.5, or 10.0).
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W3Schools
w3schools.com โ€บ python โ€บ ref_func_float.asp
Python float() Function
Remove List Duplicates Reverse ... Python Bootcamp Python Certificate Python Training ... The float() function converts the specified value into a floating point number....
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GeeksforGeeks
geeksforgeeks.org โ€บ python โ€บ python-float-type-and-its-methods
Float type and its methods in python - GeeksforGeeks
July 11, 2025 - The division 7.5 / 2.5 results in 3.0, ensuring a floating-point output. The __floordiv__() method performs floor division, which returns the largest integer less than or equal to the quotient. ... The quotient is 3.0 with no remainder, so the floor division is the same as normal division here. The __mod__() method returns the remainder of division. ... Here, 10.5 / 4.0 results in 2 with a remainder of 2.5. The __pow__() method raises the float to the power of another number.
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Udacity
udacity.com โ€บ blog โ€บ 2025 โ€บ 03 โ€บ floating-point-numbers-in-python-what-they-are-and-how-to-use-them.html
Floating Point Numbers in Python: What They Are and How to Use Them | Udacity
March 10, 2025 - Instead, they use a system called floating point representation. Thatโ€™s why a seemingly easy and straightforward calculation can throw unexpected results. In Python, float is the built-in type for representing decimal numbers in our code.
Find elsewhere
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Reddit
reddit.com โ€บ r/learnprogramming โ€บ [python] adding floating point number causes precision issues for some numbers but not othera.
r/learnprogramming on Reddit: [Python] Adding floating point number causes precision issues for some numbers but not othera.
January 9, 2024 -

I'm not sure if this is a problem with my IDE or if its a Python issue but when I add a floating point number, take 3.14 for example, to some numbers I get a lot of additional 0s.

y = 3.14
y1 = 3.14 + 1
print(3.14)

Output:
4.140000000000001

I noticed this issue occurs when I add 1 to 4 but if I add 5 I get 8.14 instead, without all of the 0s.

Why does this only happen when adding certain numbers?

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Note.nkmk.me
note.nkmk.me โ€บ home โ€บ python
Maximum and Minimum float Values in Python | note.nkmk.me
August 11, 2023 - In Python, the float type is a 64-bit double-precision floating-point number, equivalent to double in languages like C. This article explains how to get and check the range (maximum and minimum values ...
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Built In
builtin.com โ€บ data-science โ€บ how-to-use-make-float-in-python
How to Use Float in Python (With Sample Code!) | Built In
Yes, you can convert integers into floats in Python using the float() function. For example, float (5) becomes 5.0. Short for โ€œnot a number,โ€ NaN is a specific type of float that represents missing or undefined values in a data set.
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Mimo
mimo.org โ€บ glossary โ€บ python โ€บ float
Python Floats: Coding Essentials | Learn Now
A float, or floating-point number, is a data type in Python that represents real numbers with a decimal component.
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Data Science Discovery
discovery.cs.illinois.edu โ€บ guides โ€บ Python-Fundamentals โ€บ Python-data-types
Python Data Types - Data Science Discovery
Here's a summary of some commonly used data types in Python: Integer (int): Whole numbers without any decimal point, e.g., 5, -10, 100. Float (float): Numbers with a decimal point or numbers written in exponential form, e.g., 3.14, -0.001, 2.5e2.
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Python
docs.python.org โ€บ 3 โ€บ library โ€บ decimal.html
decimal โ€” Decimal fixed-point and floating-point arithmetic
If value is a float, the binary floating-point value is losslessly converted to its exact decimal equivalent. This conversion can often require 53 or more digits of precision. For example, Decimal(float('1.1')) converts to Decimal('1.100000...
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Medium
medium.com โ€บ @goldengrisha โ€บ understanding-floating-point-precision-issues-in-python-a-practical-guide-5e17b2f14057
Understanding Floating-Point Precision Issues in Python: A Practical Guide | by Gregory Kovalchuk | Medium
September 25, 2024 - Floating-point numbers are stored ... (which shifts the decimal point). In Python, floating-point numbers are represented using the IEEE 754 standard, which is the industry norm for binary floating-point arithmetic...
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Simplilearn
simplilearn.com โ€บ home โ€บ resources โ€บ software development โ€บ python float() function: key concepts [with examples]
Python float() Function: Key Concepts [With Examples]
November 27, 2024 - Learn how the float() function in Python converts a specified value into a floating point number. Syntax: float(value). A key function for numeric conversions.
Address ย  5851 Legacy Circle, 6th Floor, Plano, TX 75024 United States
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Oreate AI
oreateai.com โ€บ blog โ€บ understanding-pythons-float-a-deep-dive-into-floatingpoint-numbers โ€บ dc3dedd789c18d3f2d945c72c41aa637
Understanding Python's Float: A Deep Dive Into Floating-Point Numbers - Oreate AI Blog
December 19, 2025 - A float in Python stands for 'floating point number.' It can hold both positive and negative values, making it versatile for various applications, from finance to engineering.
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W3Schools
w3schools.com โ€บ python โ€บ python_numbers.asp
Python Numbers
Integers: x = 1 y = 35656222554887711 z = -3255522 print(type(x)) print(type(y)) print(type(z)) Try it Yourself ยป ยท Float, or "floating point number" is a number, positive or negative, containing one or more decimals.
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Real Python
realpython.com โ€บ python-numbers
Numbers in Python โ€“ Real Python
April 1, 2023 - To write a float literal in E notation, type a number followed by the letter e and then another number. Python takes the number to the left of the e and multiplies it by 10 raised to the power of the number after the e. So 1e6 is equivalent to ...
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Berkeley
pythonnumericalmethods.studentorg.berkeley.edu โ€บ notebooks โ€บ chapter09.02-Floating-Point-Numbers.html
Floating Point Numbers โ€” Python Numerical Methods
To achieve the range of values needed with the same number of bits, we use floating point numbers or float for short. Instead of utilizing each bit as the coefficient of a power of 2, floats allocate bits to three different parts: the sign indicator, \(s\), which says whether a number is positive ...