Search
Search Results
Search finished, found 63 page(s) matching the search query.
- Using F2PY bindings in Python
numpy.distutils
user guide- Advanced F2PY use cases
- Boilerplate reduction and templating
- Building from source
- F2PY and build systems
- F2PY and Windows
- F2PY and Windows Intel Fortran
- F2PY examples
- F2PY reference manual
- F2PY test suite
- F2PY user guide
- F2PY user guide and reference manual
- NumPy 1.11.0 Release Notes
...NumPy 1.11.0 Release Notes This release supports Python 2.6 - 2.7 and 3.2 - 3.5 and contains a number of enhancements and improvements. Note also the build system change...
- NumPy 1.13.0 Release Notes
...NumPy 1.13.0 Release Notes This release supports Python 2.7 and 3.4 - 3.6. Highlights Operations like a + b + c will reuse temporaries on some platforms, resulting in...
- NumPy 1.14.0 Release Notes
...ve the old style printing when needed. A major decision affecting future development concerns the schedule for dropping Python 2.7 support in the runup to 2020. The decision has been made to support 2.7 for all releases made in 2018, with t...
- NumPy 1.16.0 Release Notes
- NumPy 1.18.0 Release Notes
...the new random C-API, expires a large number of old deprecations, and improves the appearance of the documentation. The Python versions supported are 3.5-3.8. This is the last NumPy release series that will support Python 3.5. Downstream de...
- NumPy 1.20.0 Release Notes
- NumPy 1.21.0 Release Notes
- NumPy 1.22.0 Release Notes
...e ongoing work to provide SIMD support for commonly used functions, improvements to F2PY, and better documentation. The Python versions supported in this release are 3.8-3.10, Python 3.7 has been dropped. Note that the Mac wheels are now ba...
- NumPy 1.23.0 Release Notes
- NumPy 1.24 Release Notes
...and fixes. New “dtype” and “casting” keywords for stacking functions. See below for the details, This release supports Python versions 3.8-3.11. Deprecations Deprecate fastCopyAndTranspose and PyArray_CopyAndTranspose The numpy.fastCopyA...
- NumPy 1.26.0 Release Notes
- NumPy 1.6.0 Release Notes
...well as numerous bug fixes and improved documentation. It is backward compatible with the 1.5.0 release, and supports Python 2.4 - 2.7 and 3.1 - 3.2. Highlights Re-introduction of datetime dtype support to deal with dates in arrays. A n...
- NumPy 2.0.0 Release Notes
...tors spread over 1078 pull requests. It contains a large number of exciting new features as well as changes to both the Python and C APIs. This major release includes breaking changes that could not happen in a regular minor (feature) relea...
- NumPy 2.1.0 Release Notes
...NumPy 2.1.0 Release Notes NumPy 2.1.0 provides support for the upcoming Python 3.13 release and drops support for Python 3.9. In addition to the usual bug fixes and updated Python support, it...
- NumPy 2.2.0 Release Notes
- NumPy security
- Signature file
- The array interface protocol
- Using F2PY
- Using F2PY bindings in Python
- Using NumPy C-API
- Using Python as glue
...NumPy user guide Using NumPy C-API Using Python as glue...
- Using via
cmake
- Using via
meson
- Using via
scikit-build
- Using via
numpy.distutils
- 1 Migrating to
meson
- For downstream package authors
- How does the CPU dispatcher work?
- How to extend NumPy
- Miscellaneous
- NumPy 1.10.2 Release Notes
...s with a number of bugs that turned up in 1.10.1 and adds various build and release improvements. Numpy 1.10.1 supports Python 2.6 - 2.7 and 3.2 - 3.5. Compatibility notes Relaxed stride checking is no longer the default There were back c...
- NumPy 1.11.2 Release Notes
- NumPy 1.13.1 Release Notes
- NumPy 1.17.1 Release Notes
- NumPy 1.20.2 Release Notes
- NumPy 1.21.1 Release Notes
- NumPy 1.21.5 Release Notes
- NumPy 1.22.1 Release Notes
- NumPy 1.22.2 Release Notes
- NumPy 1.23.3 Release Notes
- NumPy 1.25.1 Release Notes
- NumPy 1.26.1 Release Notes
- NumPy 1.26.3 Release Notes
- NumPy 1.7.2 Release Notes
- NumPy 1.9.1 Release Notes
- NumPy project governance and decision-making
- NumPy’s module structure
- The N-dimensional array (
ndarray
) - Three ways to wrap - getting started