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- The Python → 11l → C++ transpiler can be used to accelerate Python code.
11l-lang.org/
Here [in this guide] we discuss the features of the Python → 11l → C++ transpiler that must be taken into account when writing Python code, so that the transpiler compiles it correctly.
- The Python → 11l → C++ transpiler
Here is the latest version of the Python → 11l → C++...
- The Python → 11l → C++ transpiler
Here is the latest version of the Python → 11l → C++ transpiler: 11l.tar.xz [source code repos]. Usage: Unpack archive to whatever directory you ; want. Open Terminal/cmd. Run command: <path_to_unpacked_archive_files>\11l <source_python_or_11l_file> on Windows, or <path_to_unpacked_archive_files>/11l <source_python_or_11l_file> on Linux.
- Why
- Status
- History
- Example
- Trying it out
- Contributing
Python is popular, easy to program in, but has poor runtime performance. We can fix that by transpiling a subset of the language into a more performant, statically typed language.
A second benefit is security. Writing security sensitive code in a low level language like C is error prone and could lead to privilege escalation. Specialized languages such as wuffs exist to address this use case. py2many can be a more general purpose solution to the problem where you can verify the source via unit tests before you transpile.
A third potential use case is to accelerate python code by transpiling it into an extension
Swift and Kotlin dominate the mobile app development workflow. However, there is no one solution that works well for lower level libraries where there is desire to share code between platforms. Kotlin Mobile Multiplatform (KMM) is a player in this place, but it hasn't really caught on. py2many provides an alternative.
Rust is the language where the focus of development has been.
C++14 is historically the first language to be supported. C++17 is now required for some features.
Preliminary support exists for Julia, Kotlin, Nim, Go, Dart and V.
py2many can also emit Python 3 code that includes inferred type annotations, and revisions to the syntax intended to simplify parsing of the code.
Based on Julian Konchunas' pyrs.
Based on Lukas Martinelli Py14 and Py14/python-3 branch by Valentin Lorentz.
Original Python version.
Transpiled Rust code:
Transpiled code for other languages:
https://github.com/adsharma/py2many/tree/main/tests/expected (fib*)
Requirements:
•Python 3.8+
Local installation:
OR
Add the py2many script to your $PATH and run:
Transpiling:
See CONTRIBUTING.md for how to test your changes and contribute to this project.
PyCer is a Python transpiler which syntatically transpiles Python code to Pure C++ code. Note that it does not semantically transpile. Instead it compiles the Python's syntatic constructs to C++'s equivalent. This project is not intended to be a pure Python compiler like Cython or Nutika (with lots of optimisations).
Jun 27, 2015 · There is also Python → 11l → C++ transpiler, which is also a restricted Python to C++ compiler, but it supports some Python features, which is not supported with Shed Skin (e.g. nested functions/closures).
self-contained and embeddable : unlike other similar tools and languages, prometeo targets specifically embedded applications and programs written in prometeo transpile to self-contained C code that does not require linking against the Python run-time library. documentation (preliminary)
People also ask
How to use Python 11L C++ transpiler?
What transpiler translates Python code into C++?
What is the 11L C++ transpiler?
Can a C++ transpiler be used as a machine code?
Is pycer a pure Python compiler?
Can CPython run a Python program faster than a C compiler?
This article discusses the most interesting transformations that a chain of two transpilers (the first translates the Python code into the code in the new 11l programming language , and the second - the 11l code in C ++), and compares the performance with other acceleration tools / code execution in Python (PyPy, Cython, Nuitka).
