diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml
index 9f7e0e6..7c948fc 100644
--- a/.github/workflows/build.yml
+++ b/.github/workflows/build.yml
@@ -32,7 +32,7 @@ jobs:
       - name: Build wheels
         env:
           # only build CPython-3.9+ and skip 32-bit builds
-          CIBW_BUILD: cp39-* cp310-* cp311-* cp312-* cp313-*
+          CIBW_BUILD: cp312-* cp313-*
           CIBW_SKIP: "*-manylinux_i686 *-musllinux*"
           # use latest build
           CIBW_MANYLINUX_X86_64_IMAGE: quay.io/pypa/manylinux2014_x86_64
diff --git a/README.md b/README.md
index af26592..d387ec1 100644
--- a/README.md
+++ b/README.md
@@ -6,7 +6,7 @@ pyGKLS is a Python wrapper for the GKLS generator of global optimization test fu
 The original GKLS generator uses a random number generator based introduced by Knuth in his book "The Art of Computer Programming". pyGKLS uses the Mersenne Twister random number generator from the C++ standard library to generate random numbers.
 
 ### Installation
-To install pyGKLS, one need `Python 3.10` or later, `CMake 3.30` or later, and a C++ compiler that supports C++23. Then clone the repository and run the following commands:
+To install pyGKLS, one need `Python 3.12` or later, `CMake 3.30` or later, and a C++ compiler that supports C++23. Then clone the repository and run the following commands:
 ```bash
 pip install gkls
 ```