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- Using F2PY
...NumPy user guide F2PY user guide and reference manual F2PY user guide Using F2PY...
- numpy.f2py (Python module, in Using F2PY)
numpy.distutilsuser guide...ct consists of two packages: NumPy — it provides packages like: numpy.distutils - extension to Python distutils numpy.f2py - a tool to bind Fortran/C codes to Python numpy._core - future replacement of Numeric and numarray packages numpy....
- Advanced debugging tools
...Advanced debugging tools If you reached here, you want to dive into, or use, more advanced tooling. This is usually not necessary for first time contributors and most day-to-day development. T...
- Advanced F2PY use cases
...NumPy user guide F2PY user guide and reference manual F2PY reference manual Advanced F2PY use cases...
- Array API
...the same time, and still retain the ability to function. — F. Scott Fitzgerald For a successful technology, reality must take precedence over public relations, for Nature cannot be fooled. — Richard P. Feynman Array structure and data...
- Array creation
...NumPy user guide NumPy fundamentals Array creation...
- BLAS and LAPACK
...er=openblas,mkl,blis -Csetup-args=-Dlapack-order=openblas,mkl,lapack The first suitable library that is found will be used. In case no suitable library is found, the NumPy build will print a warning and then use (slow!) NumPy-internal fal...
- Boilerplate reduction and templating
...NumPy user guide F2PY user guide and reference manual F2PY reference manual Boilerplate reduction and templating...
- Building from source
...or “Reference”) BLAS and LAPACK. pkg-config for dependency detection. A Fortran compiler is needed only for running the f2py tests. The instructions below include a Fortran compiler, however you can safely leave it out. Debian/Ubuntu Li...
- Compiler selection and customizing a build
...Building from source Compiler selection and customizing a build...
- CPU build options
...CPU build options Description The following options are mainly used to change the default behavior of optimizations that target certain CPU features: cpu-baseline: minimal set of re...
- F2PY and build systems
...NumPy user guide F2PY user guide and reference manual F2PY reference manual F2PY and build systems...
- F2PY and Conda on Windows
...NumPy user guide F2PY user guide and reference manual F2PY and Windows F2PY and Conda on Windows...
- F2PY and PGI Fortran on Windows
...NumPy user guide F2PY user guide and reference manual F2PY and Windows F2PY and PGI Fortran on Windows...
- F2PY and Windows
...NumPy user guide F2PY user guide and reference manual F2PY and Windows...
- F2PY and Windows Intel Fortran
...NumPy user guide F2PY user guide and reference manual F2PY and Windows F2PY and Windows Intel Fortran...
- F2PY and Windows with MSYS2
...NumPy user guide F2PY user guide and reference manual F2PY and Windows F2PY and Windows with MSYS2...
- F2PY examples
...NumPy user guide F2PY user guide and reference manual F2PY user guide F2PY examples...
- F2PY reference manual
...NumPy user guide F2PY user guide and reference manual F2PY reference manual...
- F2PY test suite
...NumPy user guide F2PY user guide and reference manual F2PY reference manual F2PY test suite...
- F2PY user guide
...NumPy user guide F2PY user guide and reference manual F2PY user guide...
- F2PY user guide and reference manual
...NumPy user guide F2PY user guide and reference manual...
- Global Configuration Options
...Most of these are related to performance or for debugging purposes and will not be interesting to the vast majority of users. Performance-related options Number of threads used for linear algebra NumPy itself is normally intentionally li...
- Importing data with
genfromtxt...NumPy user guide NumPy fundamentals I/O with NumPy Importing data with genfromtxt...
- Interoperability with NumPy
...NumPy user guide Interoperability with NumPy...
- Iterating over arrays
...n be iterated over like Python lists. See the Indexing, slicing and iterating section in the Quickstart guide for basic usage and examples. The remainder of this document presents the nditer object and covers more advanced usage. The itera...
- NumPy 1.10.0 Release Notes
...NumPy user guide Release notes NumPy 1.10.0 Release Notes...
- NumPy 1.11.0 Release Notes
...ng namespace. Raise them in a test function to mark the test to be skipped or mark it as a known failure, respectively. f2py.compile has a new extension keyword parameter that allows the fortran extension to be specified for generated temp...
- NumPy 1.13.0 Release Notes
...AR type number deprecated since version 1.7 will now raise deprecation warnings at runtime. Extensions built with older f2py versions need to be recompiled to remove the warning. np.ma.argsort, np.ma.minimum.reduce, and np.ma.maximum.reduce...
- NumPy 1.14.0 Release Notes
...lt, np.einsum will also attempt optimization as the overhead is small relative to the potential improvement in speed. f2py now handles arrays of dimension 0 f2py now allows for the allocation of arrays of dimension 0. This allows for more...
- NumPy 1.15.0 Release Notes
...NumPy user guide Release notes NumPy 1.15.0 Release Notes...
- NumPy 1.16.0 Release Notes
...seem to no longer work in 1.15. Future changes NumPy 1.17 will drop support for Python 2.7. Compatibility notes f2py script on Windows On Windows, the installed script for running f2py is now an .exe file rather than a *.py file and...
- NumPy 1.16.2 Release Notes
- NumPy 1.17.0 Release Notes
...NumPy user guide Release notes NumPy 1.17.0 Release Notes...
- NumPy 1.18.0 Release Notes
- NumPy 1.19.0 Release Notes
...NumPy user guide Release notes NumPy 1.19.0 Release Notes...
- NumPy 1.20.0 Release Notes
...bination with NpyIter_Reset. These issues always existed, but new API could be added if required by users. (gh-17029) f2py generated code may return unicode instead of byte strings Some byte strings previously returned by f2py generated c...
- NumPy 1.21.0 Release Notes
- NumPy 1.22.0 Release Notes
...ojects. These are in addition to the 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....
- NumPy 1.23.0 Release Notes
- NumPy 1.24 Release Notes
- NumPy 1.25.0 Release Notes
- NumPy 1.26.0 Release Notes
- NumPy 1.4.0 Release Notes
- NumPy 1.6.0 Release Notes
- NumPy 1.6.2 Release Notes
- NumPy 1.8.0 Release Notes
- NumPy 1.9.0 Release Notes
- NumPy 2.0.0 Release Notes
- NumPy 2.1.0 Release Notes
- NumPy 2.2.0 Release Notes
- NumPy core math library
- NumPy for MATLAB users
- NumPy security
- numpy.i: a SWIG interface file for NumPy
- NumPy: the absolute basics for beginners
- Python types and C-structures
- Reading and writing files
- Setting up and using your development environment
- Signature file
- Subclassing ndarray
- Testing guidelines
- The
numpy.mamodule - Troubleshooting
- Universal functions (
ufunc) basics - Using F2PY
- Using F2PY bindings in Python
- Using NumPy C-API
- Using Python as glue
- Using the convenience classes
- Using via
cmake - Using via
meson