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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 7d0b3d4d6b
docs: description in setup.py updated.
2022-10-21 10:42:02 +01:00
.github/workflows ci: fail fast strategy for pytest workflow changed to false. 2022-10-19 13:03:23 +01:00
examples docs: data management example refined. 2022-09-29 17:11:24 +01:00
pyerrors feat: Speed up covariance for irregular MC chains 2022-10-21 11:05:54 +02:00
tests feat: Speed up covariance for irregular MC chains 2022-10-21 11:05:54 +02:00
.gitignore build: extract version number in setup.py from version.py 2022-06-14 12:02:43 +01:00
CHANGELOG.md docs: CHANGELOG updated, version number bumped to 2.3.1 2022-10-19 14:04:36 +01:00
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: examples workflow documented, badge added to README 2022-05-14 12:12:50 +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
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setup.py docs: description in setup.py updated. 2022-10-21 10:42:02 +01:00

README.md

flake8 pytest License: MIT arXiv

pyerrors

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

Installation

To install the most recent release 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