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Nuitka (pronounced as / njuːtkʌ / [2]) is a source-to-source compiler which compiles Python code to C source code, applying some compile-time optimizations in the process such as constant folding and propagation, built-in call prediction, type inference, and conditional statement execution. [3] [4] Nuitka initially was designed to produce C++ ...
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Unless semantics of Python are changed, but in many cases speedup is possible with few or no changes in the Python code. The faster Julia source code can then be used from Python, or compiled to machine code, and based that way. Nuitka compiles Python into C. Numba uses LLVM to compile a subset of Python to machine code. Pythran compiles a ...
Python compiler. Python compiler may refer to: Python, a native code compiler for CMU Common Lisp. One of several compiler implementations for the Python programming language: see Python implementations. Category:
Mojo is a programming language in the Python family that is currently under development. [2] [3] [4] It is available both in browsers via Jupyter notebooks, [4] [5] and locally on Linux and macOS. [6] [7] Mojo aims to combine the usability of higher level programming languages, specifically Python, with the performance of lower level ...
005.4/53 19. LC Class. QA76.76.C65 A37 1986. Compilers: Principles, Techniques, and Tools [1] is a computer science textbook by Alfred V. Aho, Monica S. Lam, Ravi Sethi, and Jeffrey D. Ullman about compiler construction for programming languages. First published in 1986, it is widely regarded as the classic definitive compiler technology text.
Category. : Free compilers and interpreters. Help. Free and open-source software portal. Wikimedia Commons has media related to Free compilers and interpreters. This category is for programming language compilers and interpreters which are distributed as free software - under a free software license, with the source code available.
Theano (software) Theano is a Python library and optimizing compiler for manipulating and evaluating mathematical expressions, especially matrix-valued ones. [2] In Theano, computations are expressed using a NumPy -esque syntax and compiled to run efficiently on either CPU or GPU architectures.