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oai:riuma.uma.es:10630/307952026-02-03T11:10:50Zcom_10630_2254col_10630_37953

00925njm 22002777a 4500 dc Fernández-Candel, Carlos Javier author Muñoz, Paula author Troya-Castilla, Javier author Vallecillo-Moreno, Antonio Jesús author 2024-03-05 Existing Python uncertainty packages support the expression and propagation of uncertainty in numeric types, such as float or int. However, they do not cover the rest of the built-in types which can also be affected by uncertainty when representing physical systems. The Uncertain Datatypes (UTypes) library provides extensions of Python built-in datatypes bool, int, float, enum and str to seamlessly incorporate the data uncertainty coming from physical measurements or user estimations into Python programs, along with the set of operations defined for the values of these types. The library implements in a natural and efficient manner linear error propagation theory in Python and performs uncertainty calculations analytically. Carlos Javier Fernández-Candel, Paula Muñoz, Javier Troya, Antonio Vallecillo, UTypes: A library for uncertain datatypes in Python, SoftwareX, Volume 26, 2024, 101676, ISSN 2352-7110, https://doi.org/10.1016/j.softx.2024.101676 https://hdl.handle.net/10630/30795 10.1016/j.softx.2024.101676 Bases de datos Informática UTypes: a library for uncertain datatypes in Python