Update links to xcelerit.com

Python/README.md

@@ -4,7 +4,7 @@ It provides the same interface as the [standard QuantLib package](https://pypi.o
 Useful links:
 
 -   [QuantLib Documentation](https://www.quantlib.org)
--   [XAD Documentation, incl Python bindings and QuantLib integration](https://auto-differentiation.github.io/quantlib-risks/python/)
+-   [XAD Documentation, incl Python bindings and QuantLib integration](https://www.xcelerit.com/xad/docs/quantlib-aad/python/)
 
 ## Installation
 

README.md

@@ -51,7 +51,7 @@ Run these notebooks on Google Colab, with nothing to install:
 
 ## Getting Help
 
-For documentation and other resources, see https://auto-differentiation.github.io/quantlib-aad/python/ .
+For documentation and other resources, see https://www.xcelerit.com/xad/docs/quantlib-aad/python/ .
 
 If you have found an issue, want to report a bug, or have a feature request, please raise a [GitHub issue](https://github.com/auto-differentiation/QuantLibAAD-Py/issues).
 

notebooks/01_quickstart.ipynb

@@ -221,7 +221,7 @@
     "## Next steps\n",
     "\n",
     "- [Curve risk](https://colab.research.google.com/github/auto-differentiation/QuantLibAAD-Py/blob/main/notebooks/02_curve_risk.ipynb): a swap book's sensitivities to every quote of a bootstrapped curve in one sweep.\n",
-    "- [Python examples](https://github.com/auto-differentiation/QuantLibAAD-Py/tree/main/Python/examples) and the [QuantLibAAD documentation](https://auto-differentiation.github.io/quantlib-aad/python/).\n",
+    "- [Python examples](https://github.com/auto-differentiation/QuantLibAAD-Py/tree/main/Python/examples) and the [QuantLibAAD documentation](https://www.xcelerit.com/xad/docs/quantlib-aad/python/).\n",
     "- [XAD for Python](https://github.com/auto-differentiation/xad-py): automatic differentiation of your own Python code."
    ]
   }

notebooks/02_curve_risk.ipynb

@@ -265,7 +265,7 @@
     "## Next steps\n",
     "\n",
     "- [Quickstart](https://colab.research.google.com/github/auto-differentiation/QuantLibAAD-Py/blob/main/notebooks/01_quickstart.ipynb): option Greeks in one adjoint sweep.\n",
-    "- [Python examples](https://github.com/auto-differentiation/QuantLibAAD-Py/tree/main/Python/examples) and the [QuantLibAAD documentation](https://auto-differentiation.github.io/quantlib-aad/python/)."
+    "- [Python examples](https://github.com/auto-differentiation/QuantLibAAD-Py/tree/main/Python/examples) and the [QuantLibAAD documentation](https://www.xcelerit.com/xad/docs/quantlib-aad/python/)."
    ]
   }
  ],

pyproject.toml

@@ -74,9 +74,9 @@ classifiers = [
 dependencies = ["xad>=2.2,<2.3"]
 
 [project.urls]
-Homepage = "https://auto-differentiation.github.io"
+Homepage = "https://www.xcelerit.com/xad/docs/"
 Repository = "https://github.com/auto-differentiation/QuantLibAAD-Py"
-Documentation = "https://auto-differentiation.github.io/quantlib-risks/python/"
+Documentation = "https://www.xcelerit.com/xad/docs/quantlib-aad/python/"
 Download = "https://pypi.org/project/QuantLibAAD/#files"
 Tracker = "https://github.com/auto-differentiation/QuantLibAAD-Py/issues"