v2025.6.2

Author: cgohlke

README.md

@@ -8,7 +8,7 @@ Source code changes, if any, have been submitted to the project maintainers or a
 
 The wheels can be downloaded from the [Releases](https://github.com/cgohlke/numpy-mkl-wheels/releases) page.
 
-## Release 2025.3.24
+## Release 2025.6.2
 
 Linked to oneAPI MKL 2025.1 (64-bit) and 2024.2 (32-bit).
 
@@ -19,21 +19,21 @@ and the
 [intel-openmp](https://pypi.org/project/intel-openmp/), and
 [intel-fortran-rt](https://pypi.org/project/intel-fortran-rt/) packages.
 
-- [numpy](https://github.com/numpy/numpy) 2.2.4
-- [scipy](https://github.com/scipy/scipy) 1.15.2
+- [numpy](https://github.com/numpy/numpy) 2.2.6
+- [scipy](https://github.com/scipy/scipy) 1.15.3
 - [numexpr](https://github.com/pydata/numexpr) 2.10.2
-- [mkl_fft](https://github.com/IntelPython/mkl_fft) 1.3.11
-- [mkl_random](https://github.com/IntelPython/mkl_random) 1.2.8
+- [mkl_fft](https://github.com/IntelPython/mkl_fft) 1.3.14
+- [mkl_random](https://github.com/IntelPython/mkl_random) 1.2.10
 - [mkl_service](https://github.com/IntelPython/mkl-service) 2.4.2
 
 ## Build system
 
 - Windows 11 Pro
-- [Visual Studio](https://visualstudio.microsoft.com/vs/community/) 2022 Community 17.13
+- [Visual Studio](https://visualstudio.microsoft.com/vs/community/) 2022 Community 17.14
 - [Intel oneAPI Base and HPC Toolkit](https://www.intel.com/content/www/us/en/developer/tools/oneapi/base-toolkit.html#gs.miarqe) 2025.1 (64-bit) and 2024.2 (32-bit and ifort)
-- [LLVM](https://github.com/llvm/llvm-project/releases) 19.1.6
-- [CPython](https://www.python.org/downloads/windows/) 3.10, 3.11, 3.12, 3.13
+- [LLVM](https://github.com/llvm/llvm-project/releases) 20.1.5
+- [CPython](https://www.python.org/downloads/windows/) 3.11, 3.12, 3.13, 3.14
 
 ## Alternatives
 
-Binaries for Python packages linked to the oneAPI MKL are also available as part of the [Intel(r) Distribution for Python](https://www.intel.com/content/www/us/en/developer/tools/oneapi/distribution-for-python.html).
+Binaries for Python packages linked to the oneAPI MKL are also available as part of the [Intel(r) Distribution for Python](https://www.intel.com/content/www/us/en/developer/tools/oneapi/distribution-for-python.html) and the [MKL-accelerated NumPy and SciPy wheels](https://github.com/urob/numpy-mkl) repository.