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The non-Python library being called to perform the CPU-intensive task is not subject to the GIL and may concurrently execute many threads on multiple processors without restriction. Concurrency of Python code can only be achieved with separate CPython interpreter processes managed by a multitasking operating system.
Nuitka (pronounced as / n juː t k ʌ / [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.
Cython works by producing a standard Python module. However, the behavior differs from standard Python in that the module code, originally written in Python, is translated into C. While the resulting code is fast, it makes many calls into the CPython interpreter and CPython standard libraries to perform actual work.
One DynamoRIO-based project was a framework for interpreter construction that combines tracing and partial evaluation. It was used to "dynamically remove interpreter overhead from language implementations". [4] In 2006, HotpathVM, the first tracing JIT compiler for a high-level language [citation needed] was developed. [5]
Psyco also advertises its ease of use: the simplest Psyco optimization involves adding only two lines to the top of a script: [9] import psyco psyco . full () These commands will import the psyco module, and have Psyco optimize the entire script.
IncPy – A custom Python interpreter that performs automatic memoization (with no required user annotations) Dave Herman's Macros for defining memoized procedures in Racket. Memoize.pm – a Perl module that implements memoized functions. Java memoization – an example in Java using dynamic proxy classes to create a generic memoization pattern.
Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. [33] Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional ...
The system can do global code optimizations (e.g. inlining of library functions) without losing the advantages of dynamic linking and without the overheads inherent to static compilers and linkers. Specifically, when doing global inline substitutions, a static compilation process may need run-time checks and ensure that a virtual call would ...