Skip to main content
A simple library for working with physical quantities.

Implements basic dimensional decomposition of physical quantities and provides basic operations (adition, subtraction, multiplication, division, comparison) for working with these quantities.

Support for non-SI units is available but most operations will result in implicit conversions to SI units. Use the as_absolute() or as_relative() methods to convert back to the desired non-SI units.

Note that while this library supports a wide range of the dimentional analysis and related integrity artifacts of working with physical quantities, the prime goal of this library isn’t the dimentional integrity of code, but instead the unified serialization or rather serializisability of physical quantities.

Metadata

Release files for physicalquantity 0.1.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for physicalquantity 0.1.1
File Size Uploaded Provenance Actions
physicalquantity-0.1.1.tar.gz 12.8 kB Without provenance Details for physicalquantity-0.1.1.tar.gz

Release files / physicalquantity-0.1.1.tar.gz

Download URL physicalquantity-0.1.1.tar.gz
Size 12.8 kB
Tags Source
SHA-256 checksum
How to use checksums
0031a183a86b52759ff80765d57e045afca4c42b523e1361fdb78e8b4793c4dd
BLAKE2b-256 checksum
How to use checksums
6715d281b2cb95aee789fbaf0a1bac3cb4fd6df33b230f5235876c6abac069a4
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.9.13

Security for physicalquantity 0.1.1

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.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page