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LMFIT: A Python tool for model fitting with Alireza Hojjati #50
LMFIT is a Non-Linear Least-Square Minimization and Curve-Fitting library for Python. It is designed to provide simple tools to help you build complex fitting models for non-linear least-squares problems and apply these models to real data.
Where: Simon Fraser University, Burnaby Campus, Research Commons room, Bennett library
Prerequisite knowledge: Familiar with basics such as writing a function. Also familiar with minimizing functions and least chi2 methods.
Dependencies: Have ipython notebook installed. Install lmfit library from: https://lmfit.github.io/lmfit-py/installation.html
ipython notebook: http://aliojjati.github.io/Other_files/LMFIT_tutorial.ipynb