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[3] [4] Nuitka initially was designed to produce C++ code, but current versions produce C source code using only those features of C11 that are shared by C++03, enabling further compilation to a binary executable format by modern C and C++ compilers including gcc, clang, MinGW, or Microsoft Visual C++. It accepts Python code compatible with ...
The Pyrex compiler will generate the necessary glue code automatically and compile the Pyrex code into a working Python module. [ citation needed ] There are tools like SWIG or Python's foreign function library ctypes which can be used for this task without requiring much additional code, but this is limited to making an external library ...
Cython also facilitates wrapping independent C or C++ code into python-importable modules. Cython is written in Python and C and works on Windows, macOS, and Linux, producing C source files compatible with CPython 2.6, 2.7, and 3.3 and later versions. The Cython source code that Cython compiles (to C) can use both Python 2 and Python 3 syntax ...
Haxe is a general-purpose programming language supporting object-oriented programming, generic programming, and various functional programming constructs. Features such as iterations, exceptions, and reflective programming (code reflection) are also built-in functions of the language and libraries.
CrossBridge uses the LLVM and GCC as compiler backends, in order to compile C++ code, optimize it, and transform it to run within AVM2 (ActionScript Virtual Machine 2). Programs built with CrossBridge are up to 10 times faster than normal ActionScript code, [4] [5] [6] but up to 2× to 10× slower than native C++ code. [11]
Nuitka compiles Python into C. [164] It works with Python 3.4 to 3.12 (and 2.6 and 2.7), for Python's main supported platforms (and Windows 7 or even Windows XP) and for Android. It claims complete support for Python 3.10, some support for 3.11 and 3.12 and experimental support for Python 3.13. It supports macOS including Apple Silicon-based.
In dynamic languages, however, they provide access to the inner workings of the compiler, and full access to the interpreter, virtual machine, or runtime, allowing the definition of language-like constructs which can optimize code or modify the syntax or grammar of the language. Assembly, C, C++, early Java, and Fortran do not generally fit ...
The Dynamic Language Runtime (DLR) from Microsoft runs on top of the Common Language Runtime (CLR) and provides computer language services for dynamic languages. These services include: A dynamic type system, to be shared by all languages using the DLR services; Dynamic method dispatch; Dynamic code generation; Hosting API