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Error propagation and statistical analysis for Markov chain Monte Carlo simulations in lattice QCD and statistical mechanics using autograd
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Fabian Joswig 9b63d8e2bd
Merge pull request #49 from fjosw/feature/improved_derivatives 
feat!: Implemented improved first and second derivatives for the corresponding methods of the Corr class.
2022-01-31 17:30:22 +00:00
.github/workflows refactor!: minimal python version bumped to 3.7 2022-01-10 15:28:27 +01:00
examples docs: examples for the gevp moved from correlator example to independent 2022-01-28 15:54:08 +00:00
pyerrors Merge pull request #49 from fjosw/feature/improved_derivatives 2022-01-31 17:30:22 +00:00
tests Merge pull request #49 from fjosw/feature/improved_derivatives 2022-01-31 17:30:22 +00:00
.gitignore fix: instances of plot.show changed to plot.draw in fit module 2021-12-07 08:27:24 +00:00
CHANGELOG.md docs: Changelog updated 2021-11-30 14:52:25 +00:00
conftest.py tests: conftest.py added 2022-01-20 13:56:56 +00:00
CONTRIBUTING.md ci: E722 removed from flake8 exceptions. 2021-12-13 14:48:56 +00:00
LICENSE Initial public release 2020-10-13 16:53:00 +02:00
README.md refactor!: minimal python version bumped to 3.7 2022-01-10 15:28:27 +01:00
setup.py build: version number on develop branch changed to 2.0.0+dev 2022-01-20 14:24:44 +00:00

README.md

flake8 pytest docs License: MIT

pyerrors

pyerrors is a python package for error computation and propagation of Markov chain Monte Carlo data.

Installation

To install the current develop version run

pip install git+https://github.com/fjosw/pyerrors.git@develop

to install the most recent release run

pip install git+https://github.com/fjosw/pyerrors.git@master