Skip to main content

qiyas - A lightweight non-opinionated customizable unit conversion Python library

Project description

qias

Upload Python Package

qias is lightweight easy-to-use non-opinionated unit conversion Python library for scientists and engineers. It is based on graph theory and allows easy customization and addition of new units via script. Each unit need to be only defined by one existing unit. qias is smart enough to figure out the rest.

Important note

This is a very early release to proove the concept. Everything is working as expected and there are no issues. conversion tables need to be added. Currently, there are some units for length, mass, and volume for testing.

Philosophy

  • Lightweight: it only relies on the networkx package to handle graph operations and varname to identify variable names.
  • Easy-to-use: customize it easily with new units.
  • non-opinionated: It does not assume anything about your data. It does not create new data type. You can pass numpy array (or datatype that can be multiplied by a number) to it without issue.

Installation

Install it in your environment by running the command

pip install qiyas

Getting started

from qiyas import qs

# Typical use
x = 10
x_cm = qs.convert(x, 'm', 'cm')

# Immediate use (Python 3.8+)
x_m = 10
x_cm = qs.to(x_m, 'cm')

# Get multiplier information
multiplier_info = qs.get_multiplier('m', 'cm')

Contribution

Contributions are welcome, especially for unit tables. Create an issue first to discuss architectural change.

MIT License

Copyright (c) 2021 Mustafa Al Ibrahim

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

qiyas-0.2.3.tar.gz (11.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

qiyas-0.2.3-py3-none-any.whl (13.5 kB view details)

Uploaded Python 3

File details

Details for the file qiyas-0.2.3.tar.gz.

File metadata

  • Download URL: qiyas-0.2.3.tar.gz
  • Upload date:
  • Size: 11.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for qiyas-0.2.3.tar.gz
Algorithm Hash digest
SHA256 f35ab59003c0620cd729cfdcbd80083b2143626a8de27e0f1fa3ec2478c31e88
MD5 795d32ce80289cc7121efb6a5fb1bd3b
BLAKE2b-256 8ec3a68fb8812fe6fb916e976a75d74b75fa67b491dd4a11bb5dae3527145ceb

See more details on using hashes here.

File details

Details for the file qiyas-0.2.3-py3-none-any.whl.

File metadata

  • Download URL: qiyas-0.2.3-py3-none-any.whl
  • Upload date:
  • Size: 13.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for qiyas-0.2.3-py3-none-any.whl
Algorithm Hash digest
SHA256 b5ddecd7bc970bcaa10f498be4b551a7db4ea73b37eeee62f71267ef45172043
MD5 cb0cdc06ff90f02f9ff578aad1579d8b
BLAKE2b-256 876cf99c36d2dd2abe3d7e1fe458271c3b72cc17595d37b764294290f29ea4ed

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page