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| -rw-r--r-- | gnu/packages/python-xyz.scm | 30 |
1 files changed, 30 insertions, 0 deletions
diff --git a/gnu/packages/python-xyz.scm b/gnu/packages/python-xyz.scm index 9ae80bda6d..a9fa391bb2 100644 --- a/gnu/packages/python-xyz.scm +++ b/gnu/packages/python-xyz.scm @@ -11607,6 +11607,36 @@ expression.") using the @code{ast} module") (license license:expat))) +(define-public python-lmfit + (package + (name "python-lmfit") + (version "1.0.2") + (source + (origin + (method url-fetch) + (uri (pypi-uri "lmfit" version)) + (sha256 + (base32 + "0iab33jjb60f8kn0k0cqb0vjp1mdskks2n3kpn97zkw5cvjhq2b7")))) + (build-system python-build-system) + (propagated-inputs + `(("python-asteval" ,python-asteval) + ("python-numpy" ,python-numpy) + ("python-scipy" ,python-scipy) + ("python-uncertainties" ,python-uncertainties))) + (native-inputs + `(("python-pytest" ,python-pytest))) + (home-page "https://lmfit.github.io/lmfit-py/") + (synopsis "Least-Squares minimization with bounds and constraints") + (description + "Lmfit provides a high-level interface to non-linear optimization and +curve fitting problems for Python. It builds on and extends many of the +optimization methods of @code{scipy.optimize}. Initially inspired by (and +named for) extending the Levenberg-Marquardt method from +@code{scipy.optimize.leastsq}, lmfit now provides a number of useful +enhancements to optimization and data fitting problems.") + (license license:bsd-3))) + (define-public python-boto (package (name "python-boto") |