Skip to content

A short guide to using Python tools to perform arbitrary curve-fitting of research data via constrained minimisation.

Notifications You must be signed in to change notification settings

sebsikora/curve_fitting

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

12 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Piece-wise curve-fitting with Python tools - A tutorial

© 2021 Dr Sebastien Sikora.

seb.nf.sikora@protonmail.com

Updated 29/09/2021.

What is it?

This IPython notebook forms a tutorial that I wrote some years ago while working as a research fellow in the Department of Mechanical Engineering at Leeds University.

It is a guide to using Python tools including numpy and scipy to work with research data, in this case to perform arbitrary curve-fitting, for the benefit of scientist colleagues comfortable with the algebra but uncomfortable moving beyond Microsoft Excel or the odd bit of Matlab to perform their analyses.

More broadly, the same approach can be used to solve for unknowns in any multivariate scalar function, via constrained minimisation.

The tutorial

About

A short guide to using Python tools to perform arbitrary curve-fitting of research data via constrained minimisation.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published