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Code::Blocks supports multiple compilers, including GCC, MinGW, Mingw-w64, Digital Mars, Microsoft Visual C++, Borland C++, LLVM Clang, Watcom, LCC and the Intel C++ compiler. Although the IDE was designed for the C++ language, there is some support for other languages, including Fortran and D. A plug-in system is included to support other ...
MicroPython adopts Python's code block style, with code specific to a particular function, condition or loop being indented. [17] This differs from most other languages which typically use symbols or keywords to delimit blocks. [17] This assists with the readability of MicroPython code as the visual structure mirrors the semantic structure.
For example, an automatic parallelizing compiler will frequently take in a high-level language program as an input and then transform the code and annotate it with parallel code annotations (e.g. OpenMP) or language constructs (e.g. Fortran's DOALL statements). Other terms for a source-to-source compiler are transcompiler or transpiler.
Further, as P-code is based on an ideal virtual machine, a P-code program can often be smaller than the same program translated to machine code. Conversely, the two-step interpretation of a P-code-based program leads to a slower execution speed, though this can sometimes be addressed with just-in-time compilation , and its simpler structure is ...
Numba is used from Python, as a tool (enabled by adding a decorator to relevant Python code), a JIT compiler that translates a subset of Python and NumPy code into fast machine code. Pythran compiles a subset of Python 3 to C++ . [165] RPython can be compiled to C, and is used to build the PyPy interpreter of Python.
Each of the language compilers is a separate program that reads source code and outputs machine code. All have a common internal structure. A per-language front end parses the source code in that language and produces an abstract syntax tree ("tree" for short).
Machine code is generally different from bytecode (also known as p-code), which is either executed by an interpreter or itself compiled into machine code for faster (direct) execution. An exception is when a processor is designed to use a particular bytecode directly as its machine code, such as is the case with Java processors.
Otherwise, the bootstrap compiler is to be written in one of the programming languages which does exist on the target machine, and that compiler will generate something which can execute on the target, including a high-level programming language, an assembly language, an object file, or even machine code. Stage 1: the bootstrap compiler is ...