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Error propagation and statistical analysis for Markov chain Monte Carlo simulations in lattice QCD and statistical mechanics using autograd

autocorrelation autograd automatic-differentiation condensed-matter correlation data-analysis error-propagation lattice-field-theory lattice-qcd markov-chain monte-carlo particle-physics physics python qcd statistical-analysis statistical-mechanics

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Fabian Joswig 0044f90315 feat: print_config moved to misc.		2023-03-11 21:22:03 +00:00
.github	ci: flake8 workflow made more strict again (and CONTRIBUTING.md updated.)	2023-02-26 19:08:47 +00:00
examples	docs: version guard added to combined fit example.	2023-03-09 13:38:51 +00:00
pyerrors	feat: print_config moved to misc.	2023-03-11 21:22:03 +00:00
tests	Serialize list of Obs in pandas.to_sql (#162 )	2023-03-10 14:17:20 +00:00
.gitignore	build: extract version number in setup.py from version.py	2022-06-14 12:02:43 +01:00
CHANGELOG.md	docs: CHANGELOG updated.	2023-02-07 13:07:48 +00:00
CITATION.cff	docs: CHANGELOG and CITATION file updated.	2022-10-13 12:08:54 +01:00
conftest.py	tests: conftest.py added	2022-01-20 13:56:56 +00:00
CONTRIBUTING.md	docs: CONTRIBUTING.md extended.	2023-03-10 14:37:50 +00:00
LICENSE	Initial public release	2020-10-13 16:53:00 +02:00
pyproject.toml	build: pyproject.toml added.	2022-08-01 16:43:19 +01:00
README.md	docs: README and CONTRIBUTING updated.	2023-03-10 14:25:17 +00:00
setup.py	build: minimal numpy version bumped to 1.21 as 1.20 runs out of support	2023-01-23 16:23:09 +00:00

README.md

pyerrors

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

Documentation: https://fjosw.github.io/pyerrors/pyerrors.html
Examples: https://github.com/fjosw/pyerrors/tree/develop/examples
Bug reports: https://github.com/fjosw/pyerrors/issues

Installation

To install the most recent release (via pypi) run

pip install pyerrors     # Fresh install
pip install -U pyerrors  # Upgrade

to install the current develop version run

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

Contributing

We appreciate all contributions to the code, the documentation and the examples. If you want to get involved please have a look at our contribution guideline.