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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 a20fe3edcf fix: quotes correctly escaped in example 5.		2023-06-19 13:51:11 +01:00
.github	ci: mac-os python version fixed.	2023-06-02 16:17:28 +01:00
examples	fix: quotes correctly escaped in example 5.	2023-06-19 13:51:11 +01:00
pyerrors	style: multiple spaces after keyword removed.	2023-06-19 13:36:11 +01:00
tests	feat: guard added to linalg.eig and tests expect NotImplementedError.	2023-06-19 13:32:55 +01:00
.gitignore	build: .hypothesis added to gitignore.	2023-03-17 17:56:40 +00:00
CHANGELOG.md	build: version bumped to 2.8.2, CHANGELOG updated.	2023-06-02 15:06:39 +01:00
CITATION.cff	docs: citation file corrected.	2023-04-29 10:59:45 +01:00
conftest.py	tests: conftest.py added	2022-01-20 13:56:56 +00:00
CONTRIBUTING.md	docs: changes to pytest workflow documented in CONTRIBUTING.md	2023-06-02 15:49:42 +01:00
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: python badge changed to 3.8+	2023-05-21 17:12:32 +01:00
setup.py	build: bumped dependency versions to the latest releases.	2023-06-02 17:19:20 +01:00

README.md

pyerrors

pyerrors is a python framework for error computation and propagation of Markov chain Monte Carlo data from lattice field theory and statistical mechanics simulations.

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

Install the most recent release using pip and pypi:

pip install pyerrors     # Fresh install
pip install -U pyerrors  # Update

Install the most recent release using conda and conda-forge:

conda install -c conda-forge pyerrors  # Fresh install
conda update -c conda-forge pyerrors   # Update

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.