diff --git a/README.md b/README.md
index 66173c9..687f648 100644
--- a/README.md
+++ b/README.md
@@ -98,18 +98,19 @@ clone it
 git submodule update --init --recursive
 ```
 
+## Using the solver in Python
+Python wheels for all standard platforms and supported Python versions are available at PyPI. To install, simply use
+```bash
+    $ pip install homlib
+```
+*Note:* Solvers with known IMU data is not yet supported in the python package.
+
 ## Using the solver in MATLAB
 (OUTDATED)
 It is possible to MEX-compile the solver and use it in MATLAB. Check the
 `compile_mex.m` function in the MATLAB directory. You may have to change the path to Eigen,
 e.g. `/usr/local/include/eigen3`.
 
-## Using the solver in Python
-Note: Solvers with known IMU data is not yet supported in the python package.
-```bash
-    $ pip install homlib
-```
-
 ## About the solvers
 Many of the solvers were generated using the automatic generator proposed by
 Larsson et al. "Efficient Solvers for Minimal Problems by Syzygy-based
diff --git a/pyproject.toml b/pyproject.toml
index 29a1e2d..cc99360 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,7 +4,7 @@ build-backend = "scikit_build_core.build"
 
 [project]
 name = "homlib"
-version = "0.1.1-rc7"
+version = "0.1.1"
 description = "State-of-the-art homography estimators."
 readme = "README.md"
 authors = [