numshooter
numshooter is a modular math library for Python that provides fast, organized, and extensible numerical operations.
Designed to be simple and lightweight, numshooter separates functionality into clear modules such as arithmetic, powers, and root operations, making it easy to maintain and scale.
Overview
numshooter is:
- A modular Python library
- Engine to solve math operations
- Anything you can imagine about numbers!
Installation
Run:
pip install numshooter
In the features section, you can see how to run each function.
Features
Add
Adds multiple numbers together using a flexible variadic interface.
- Accepts any number of arguments (
*args) - Returns
0if no arguments are provided (additive identity) - Uses left-to-right accumulation
- Supports integers and floats
Example:
add(1, 2, 3) # 6
add() # 0
Sub
Performs sequential subtraction from the first value.
- First value is treated as the base
- Each subsequent value is subtracted in order
- Returns the single value if only one argument is given
Example:
sub(10, 2, 3) # 5
sub(7) # 7
Mul
Multiplies all provided numbers together.
- Accepts any number of arguments
- Returns 1 if no arguments are provided (multiplicative identity)
- Uses iterative multiplication Example:
mul(2, 3, 4) # 24
mul() # 1
Div
Performs sequential division from left to right.
- First value is the numerator base
- Each next value divides the current result
- Raises ZeroDivisionError if any divisor is zero
Example:
div(8, 2, 2) # 2.0
div(9) # 9
Philosophy
numshooter prioritizes:
-
Simplicity over complexity
-
Modular design over monoliths
-
Readability over over-optimization
-
Extensibility for future math domains
License
numshooter uses MIT license. See more details at our license file.
Metadata
Release files for numshooter 0.1.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| numshooter-0.1.4.tar.gz | 3.3 kB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| numshooter-0.1.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.9 kB
Release files / numshooter-0.1.4.tar.gz
| Download URL | numshooter-0.1.4.tar.gz |
|---|---|
| Size | 3.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
61cd54256d661883270afac2a6e19c88ec304da37b1b309afca131a2e13cbbed
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Transparency logRelease files / numshooter-0.1.4-py3-none-any.whl
| Download URL | numshooter-0.1.4-py3-none-any.whl |
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| Size | 3.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
a1838d922b0c3b226579be1d4e537b56425f8c19bec0458dca0b1b5a1cce2f7f
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on May 11, 2026.
Transparency logSecurity for numshooter 0.1.4
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
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Attestation for numshooter-0.1.4.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on May 11, 2026.
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