Join GitHub today
GitHub is home to over 20 million developers working together to host and review code, manage projects, and build software together.
Fetching latest commit…
Cannot retrieve the latest commit at this time.
|Failed to load latest commit information.|
Pint: a Python units library ============================ Pint is Python module/package to define, operate and manipulate physical quantities: the product of a numerical value and a unit of measurement. It allows arithmetic operations between them and conversions from and to different units. It is distributed with a comprehensive list of physical units, prefixes and constants. Due to it's modular design, you to extend (or even rewrite!) the complete list without changing the source code. It has a complete test coverage. It runs in Python 2.6, 2.7, 3.0, 3.1 and 3.2 with no other dependency. It licensed under BSD. Design principles ----------------- Although there are already a few very good Python packages to handle physical quantities, no one was really fitting my needs. Like most developers, I programed Pint to scratch my own itches. - Unit parsing: prefixed and pluralized forms of units are recognized without explicitly defining them. In other words: as the prefix *kilo* and the unit *meter* are defined, Pint understands *kilometers*. This results in a much shorter and maintainable unit definition list as compared to other packages. - Standalone unit definitions: units definitions are loaded from simple and easy to edit text file. Adding and changing units and their definitions does not involve changing the code. - Handle temperature conversion: it can convert between units with different point of reference, like positions on a map or absolute temperature scales. - Advanced string formatting: a quantity can be formatted into string using PEP 3101 syntax. Extended conversion flags are given to provide latex and pretty formatting. - Small codebase: small and easy to maintain codebase with a flat hierarchy. It is a single stand-alone module that can be installed as a package or added side by side to your project. - Dependency free: it depends only on Python and it's standard library. - Python 2 and 3: A single codebase that runs unchanged in Python 2.6+ and Python 3.0+.