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- Yes, it works with C++11/14/17/20, see corresponding section in docs. By default, pybind11 will compile modules with the compiler default or the minimum standard required by pybind11, whichever is higher.
stackoverflow.com/questions/63682868/pybind11-for-c14-c17
To use the C++17 in Visual Studio 2017 (MSVC 14.1), pybind11 requires the flag /permissive-to be passed to the compiler to enforce standard conformance. When building with Visual Studio 2019, this is not strictly necessary, but still advised.
- NumPy
To create a C++ function that can take a Python buffer...
- Functions
pybind11 exposes all major Python types using thin C++...
- Exceptions
When Python calls C++ code through pybind11, pybind11...
- Eigen
Eigen is C++ header-based library for dense and sparse...
- Utilities
Using Python’s print function in C++# The usual way to write...
- Changelog
Support for over-aligned type allocation via C++17’s aligned...
- Reference
Without reference counting# class handle: public detail::...
- Limitations
Limitations# Design choices#. pybind11 strives to be a...
- NumPy
- Overview
- Core features
- Goodies
- Supported compilers
- About
pybind11 — Seamless operability between C++11 and Python
Setuptools example • Scikit-build example • CMake example
pybind11 is a lightweight header-only library that exposes C++ types in Python and vice versa, mainly to create Python bindings of existing C++ code. Its goals and syntax are similar to the excellent Boost.Python library by David Abrahams: to minimize boilerplate code in traditional extension modules by inferring type information using compile-time introspection.
The main issue with Boost.Python—and the reason for creating such a similar project—is Boost. Boost is an enormously large and complex suite of utility libraries that works with almost every C++ compiler in existence. This compatibility has its cost: arcane template tricks and workarounds are necessary to support the oldest and buggiest of compiler specimens. Now that C++11-compatible compilers are widely available, this heavy machinery has become an excessively large and unnecessary dependency.
Think of this library as a tiny self-contained version of Boost.Python with everything stripped away that isn't relevant for binding generation. Without comments, the core header files only require ~4K lines of code and depend on Python (3.6+, or PyPy) and the C++ standard library. This compact implementation was possible thanks to some of the new C++11 language features (specifically: tuples, lambda functions and variadic templates). Since its creation, this library has grown beyond Boost.Python in many ways, leading to dramatically simpler binding code in many common situations.
Tutorial and reference documentation is provided at pybind11.readthedocs.io. A PDF version of the manual is available here. And the source code is always available at github.com/pybind/pybind11.
pybind11 can map the following core C++ features to Python:
•Functions accepting and returning custom data structures per value, reference, or pointer
•Instance methods and static methods
•Overloaded functions
•Instance attributes and static attributes
•Arbitrary exception types
In addition to the core functionality, pybind11 provides some extra goodies:
•Python 3.6+, and PyPy3 7.3 are supported with an implementation-agnostic interface (pybind11 2.9 was the last version to support Python 2 and 3.5).
•It is possible to bind C++11 lambda functions with captured variables. The lambda capture data is stored inside the resulting Python function object.
•pybind11 uses C++11 move constructors and move assignment operators whenever possible to efficiently transfer custom data types.
•It's easy to expose the internal storage of custom data types through Pythons' buffer protocols. This is handy e.g. for fast conversion between C++ matrix classes like Eigen and NumPy without expensive copy operations.
•pybind11 can automatically vectorize functions so that they are transparently applied to all entries of one or more NumPy array arguments.
1.Clang/LLVM 3.3 or newer (for Apple Xcode's clang, this is 5.0.0 or newer)
2.GCC 4.8 or newer
3.Microsoft Visual Studio 2017 or newer
4.Intel classic C++ compiler 18 or newer (ICC 20.2 tested in CI)
5.Cygwin/GCC (previously tested on 2.5.1)
6.NVCC (CUDA 11.0 tested in CI)
This project was created by Wenzel Jakob. Significant features and/or improvements to the code were contributed by Jonas Adler, Lori A. Burns, Sylvain Corlay, Eric Cousineau, Aaron Gokaslan, Ralf Grosse-Kunstleve, Trent Houliston, Axel Huebl, @hulucc, Yannick Jadoul, Sergey Lyskov, Johan Mabille, Tomasz Miąsko, Dean Moldovan, Ben Pritchard, Jason Rhinelander, Boris Schäling, Pim Schellart, Henry Schreiner, Ivan Smirnov, Boris Staletic, and Patrick Stewart.
We thank Google for a generous financial contribution to the continuous integration infrastructure used by this project.
pybind11 can map the following core C++ features to Python: Functions accepting and returning custom data structures per value, reference, or pointer. Instance methods and static methods. Overloaded functions. Instance attributes and static attributes. Arbitrary exception types.
Sep 1, 2020 · Yes, it works with C++11/14/17/20, see corresponding section in docs. By default, pybind11 will compile modules with the compiler default or the minimum standard required by pybind11, whichever is higher.
pybind11 exposes all major Python types using thin C++ wrapper classes. These wrapper classes can also be used as parameters of functions in bindings, which makes it possible to directly work with native Python types on the C++ side.
Aug 29, 2023 · This article provides a comprehensive guide to creating Python bindings for C++ code using the pybind11 library. Python bindings enable seamless integration between C++ and Python code, allowing...
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Note that only the 2015 release and newer versions are supported since pybind11 relies on various C++11 language features that break older versions of Visual Studio. After running CMake, open the created pybind11.sln file and perform a release build, which will will produce a file named Release\example.pyd.
