replace readthedocs url everywhere

CITATION.cff

@@ -63,7 +63,7 @@ identifiers:
   - type: doi
     value: 10.5281/zenodo.7695764
 repository-code: 'https://github.com/scikit-hep/iminuit'
-url: 'https://iminuit.readthedocs.io/en/stable/'
+url: 'https://scikit-hep.org/iminuit/'
 abstract: >-
   iminuit is a Jupyter-friendly Python interface for the
   Minuit2 C++ library maintained by CERN's ROOT team.

CONTRIBUTING.md

@@ -1 +1 @@
-See doc/contribute.rst in this repository or its [html version](https://iminuit.readthedocs.io/en/latest/contribute.html).
+See doc/contribute.rst in this repository or its [html version](https://scikit-hep.org/iminuit/contribute.html).

README.rst

@@ -107,7 +107,7 @@ When ``iminuit`` is used with cost functions and pdfs that are JIT-compiled with
 
 .. image:: doc/_static/roofit_vs_iminuit+numba.svg
 
-More information about this benchmark is given `in the Benchmark section of the documentation <https://iminuit.readthedocs.io/en/stable/benchmark.html#cost-function-benchmark>`_.
+More information about this benchmark is given `in the Benchmark section of the documentation <https://scikit-hep.org/iminuit/benchmark.html#cost-function-benchmark>`_.
 
 Partner projects
 ----------------
@@ -123,8 +123,8 @@ Versions
 
 All interface changes are documented in the `changelog`_ with recommendations how to upgrade. To keep existing scripts running, pin your major iminuit version to <2, i.e. ``pip install 'iminuit<2'`` installs the 1.x series.
 
-.. _changelog: https://iminuit.readthedocs.io/en/stable/changelog.html
-.. _tutorials: https://iminuit.readthedocs.io/en/stable/tutorials.html
+.. _changelog: https://scikit-hep.org/iminuit/changelog.html
+.. _tutorials: https://scikit-hep.org/iminuit/tutorials.html
 .. _discussions: https://github.com/scikit-hep/iminuit/discussions
 .. _gitter: https://gitter.im/Scikit-HEP/iminuit
 .. _jacobi: https://github.com/hdembinski/jacobi

doc/notebooks/hesse_and_minos.ipynb

@@ -1,5 +1,5 @@
 {
-  "cells": [
+ "cells": [
   {
    "attachments": {},
    "cell_type": "markdown",
@@ -11,7 +11,7 @@
     "\n",
     "iminuit (and C++ MINUIT) offers two major ways of computing parameter uncertainties from the cost function (which must be of least-squares form or negative log-likelihood), HESSE and MINOS. These have different pros and cons, on which we already touched in the basic tutorial. Here we want to go a bit deeper into the pros and cons and also try to reveal a bit of the math behind the two approaches.\n",
     "\n",
-    "There are several sources which explain what HESSE and MINOS do, in particular the MINUIT User's Guide (linked from the [iminuit documentation](https://iminuit.readthedocs.io/en/latest/about.html)). The mathematical details are covered in F. James, \"Statistical Methods in Experimental Physics\", 2nd edition, World Scientific (2006)."
+    "There are several sources which explain what HESSE and MINOS do, in particular the MINUIT User's Guide (linked from the [iminuit documentation](https://scikit-hep.org/iminuit/about.html)). The mathematical details are covered in F. James, \"Statistical Methods in Experimental Physics\", 2nd edition, World Scientific (2006)."
    ]
   },
   {

pyproject.toml

@@ -37,7 +37,7 @@ dependencies = ["numpy >= 1.21", "typing_extensions;python_version < '3.9'"]
 
 [project.urls]
 repository = "http://github.com/scikit-hep/iminuit"
-documentation = "https://iminuit.readthedocs.io"
+documentation = "https://scikit-hep.org/iminuit"
 
 [project.optional-dependencies]
 test = [

src/iminuit/__init__.py

@@ -18,7 +18,7 @@ def fcn(x, y, z):
 Further information:
 
 * Code: https://github.com/scikit-hep/iminuit
-* Docs: https://iminuit.readthedocs.io
+* Docs: https://scikit-hep.org/iminuit
 """
 
 from iminuit.minuit import Minuit