scientific-tools 0.0.0a20

Scientific tools is the Swiss knife for scientists and students who work with python.

Scientific tools

Project's description

scientific_tools is the Swiss knife for scientists and students who work with python. This framework is currently in development, but some functionnalities work without any bugs.

Mathematics

Solve

The scientific_tools.mathematics.solve file can resolve equations with some functions using different algorithm :

• dichotomy function search the unique solution of f(x) = 0, where f is an continuous and strictly monotone function.
• implicit_finite_difference_solver function can solve a partial differential equation with the implicit finite difference method. The shape of partial differential equation must be Ctt Utt + Ctx Uxt + Cxx Uxx + Cx Ux + Ct Ut + Cu U = Cc. NB: This solver is experimental !
• explicit_finite_difference_solver function can solve the same shape of partial differential equation but with the explicit finite difference method. NB: This solver is experimental !

Physics

Uncertainty

The scientific_tools.physics.uncertainty file can calculate uncertainties :

• calculate standard uncertainties with propagation rules
• calculate relative uncertainties with propagation rules
• calculate z-scores (z-core between a value and a reference value & z-score between two value)

Other files are planned

A lot of other functionnalities are in development.

Graphics package

Functions graphs

The scientific_tools.graphics.function_graphs file can trace 2D and 3D functions graphs. It will be able to trace two functions curves in few weeks (in development).

Uncertainty graphs

The scientific_tools.graphics.uncertainty_graphs file can draw :

• an uncertainty graph with a function, the function plus its uncertainty and the fonction minus its uncertainty.
• experimental values with uncertainties bar.
• a z-score graph : draws the points (or a function) that correspond to z-score and draws the maximum and minimum lines of z-core validity.

Thanks

This framework rely on few others frameworks that are free. The code is written in Python 3.11 and use :

• numpy
• matplotlib

License

Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License (CC-BY-NC-SA)

(Futher information at: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode )

©Cyprien BONTRON ([e-mail])