Search Results for "interpreter"

...Numba translates Python functions to optimized machine code at runtime using the industry-standard LLVM compiler library. Numba-compiled numerical algorithms in Python can approach the speeds of C or FORTRAN. You don't need to replace the Python interpreter, run a separate compilation step, or even have a C/C++ compiler installed. Just apply one of the Numba decorators to your Python function, and Numba does the rest. Numba is designed to be used with NumPy arrays and functions. Numba generates specialized code for different array data types and layouts to optimize performance. Special decorators can create universal functions that broadcast over NumPy arrays just like NumPy functions do. ...

John's Mutant contains several projects. The current project is an ECMA-55 Minimal BASIC compiler for Linux systems using AMD64 compatible CPUs. You can download the MinimalBASIC compiler source in the Files section.

py-backwards is a transpiler that takes modern Python code (with newer syntax) and converts it to older Python versions so you can run it in legacy environments. For example, if you want to use f-strings, type annotations, or other Python 3.x niceties but have to deploy on a machine that only has an older interpreter, py-backwards rewrites your code to an equivalent, earlier syntax. It does this by parsing the source into an abstract syntax tree (AST), applying transformation rules, and emitting compatible code. This allows teams to write forward-looking Python without immediately upgrading all their runtime environments. The project is particularly handy for packaging, CI, or on-prem situations where upgrading Python is slow or impossible. ...

The Markovski project implements an interpreter/compiler for a language named Markovski, used to write Markov algorithms (see http://en.wikipedia.org/wiki/Markov_algorithm).

The aim of the CPyrol project is to create a complete Python interpreter written in C++ with minimal system requirements and a very clean codebase. I am working on this project mainly to gather experience with the current C++ standart (C++ 11) and with compiler development, it is not (yet) intended for practical usage. This project is at an early stage of development. Currently implemented is a Lexer, Parser and Code Generator for compiling Python code into CPython-compatible bytecode.

It's a brainfuck interpreter written in Python (In the future will be also a compiler for x86 and have a GUI).