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Cython (/ ˈ s aɪ θ ɒ n /) is a superset of the programming language Python, which allows developers to write Python code (with optional, C-inspired syntax extensions) that yields performance comparable to that of C. [5] [6] Cython is a compiled language that is typically used to generate CPython extension modules.
It is most commonly associated with the act of compiling a higher-level programming language such as C or C++, or an intermediate representation such as Java bytecode or Common Intermediate Language (CIL) code, into native machine code so that the resulting binary file can execute natively, just like a standard native compiler.
ROSE: an open source compiler framework to generate source-to-source analyzers and translators for C/C++ and Fortran, developed at Lawrence Livermore National Laboratory MILEPOST GCC : interactive plugin-based open-source research compiler that combines the strength of GCC and the flexibility of the common Interactive Compilation Interface that ...
A cross compiler is a compiler capable of creating executable code for a platform other than the one on which the compiler is running. For example, a compiler that runs on a PC but generates code that runs on Android devices is a cross compiler. A cross compiler is useful to compile code for multiple platforms from one development host.
Download QR code; Print/export ... as well as programming languages for which source-to-source compilers are available.
CPython is the reference implementation of the Python programming language. Written in C and Python, CPython is the default and most widely used implementation of the Python language. CPython can be defined as both an interpreter and a compiler as it compiles Python code into bytecode before interpreting it.
Shed Skin is an experimental restricted-Python (3.8+) to C++ programming language compiler. It can translate pure, but implicitly statically typed Python programs into optimized C++. It can generate stand-alone programs or extension modules that can be imported and used in larger Python programs.
The programmer must specify the name of C-header files, enumerations, datatypes and functions needing to be accessed in the module, then they can be used as if they were Python objects. The Pyrex compiler will generate the necessary glue code automatically and compile the Pyrex code into a working Python module. [citation needed]