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Error propagation and statistical analysis for Markov chain Monte Carlo simulations in lattice QCD and statistical mechanics using autograd
autocorrelationautogradautomatic-differentiationcondensed-mattercorrelationdata-analysiserror-propagationlattice-field-theorylattice-qcdmarkov-chainmonte-carloparticle-physicsphysicspythonqcdstatistical-analysisstatistical-mechanics
26447d658c
* first example of returns statement in docstring * added a some return statements for pandas API * last return statements in pandas input * added returns to bdio docstrings * few returns statements added to docstring * finished docstrings for hadrons submodule * also finished docstrings for json submodule * finished misc submodule * added returns in docstrings in openqQCD * made some cosmetic chanes to dostrings * added return nad return statement in docstring * linting * Improved docstrings of mpm, fits, roots, misc to have return statements returns added for misc.py returns added for mpm.py reutrns added for fits.py * linting... * Some polishing of docstrings |
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| examples | ||
| pyerrors | ||
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| .gitignore | ||
| CHANGELOG.md | ||
| CITATION.cff | ||
| conftest.py | ||
| CONTRIBUTING.md | ||
| LICENSE | ||
| pyproject.toml | ||
| README.md | ||
| setup.py | ||
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
- Contributing: https://github.com/fjosw/pyerrors/blob/develop/CONTRIBUTING.md
- 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