{"id":169833,"date":"2026-04-23T12:24:35","date_gmt":"2026-04-23T10:24:35","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/vypusk-nuitka-4-0-kompilyatora-dlya-yazyka-python-progress-razvitiya-jit-v-cpython"},"modified":"2026-04-23T12:24:35","modified_gmt":"2026-04-23T10:24:35","slug":"vypusk-nuitka-4-0-kompilyatora-dlya-yazyka-python-progress-razvitiya-jit-v-cpython","status":"publish","type":"post","link":"https:\/\/prohoster.info\/it\/blog\/novosti-interneta\/vypusk-nuitka-4-0-kompilyatora-dlya-yazyka-python-progress-razvitiya-jit-v-cpython","title":{"rendered":"Uscita di Nuitka 4.0, il compilatore per il linguaggio Python. Progresso nello sviluppo del JIT in CPython.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>\u00c8 disponibile il rilascio del progetto Nuitka 4.0, che sviluppa un compilatore per la traduzione di script in Python in una rappresentazione in C, che pu\u00f2 poi essere compilata in un file eseguibile che utilizza libpython per garantire la massima compatibilit\u00e0 con CPython (utilizzando gli strumenti standard di CPython per gestire gli oggetti). \u00c8 garantita la completa compatibilit\u00e0 con le versioni attuali di Python 2.6, 2.7, 3.4 - 3.13. Rispetto a CPython, gli script compilati mostrano un aumento delle prestazioni del 335% nei test pystone. Il codice del progetto \u00e8 distribuito sotto licenza Apache.     <\/p>\n<p>Nella nuova versione:  <\/p>\n<ul>\n<li class=\"l\"> Sono state apportate modifiche per migliorare la compatibilit\u00e0 con Python 3.12, 3.13 e 3.14, ad esempio, \u00e8 stata aggiunta la supporto per l'elaborazione differita delle annotazioni e la nuova sintassi di annotazione dei tipi per classi e funzioni generiche.\n<li class=\"l\"> \u00c8 stata aggiunta la possibilit\u00e0 sperimentale di utilizzare il compilatore Zig (zig cc) come backend per il compilatore C in Nuitka.\n<li class=\"l\"> \u00c8 stato aggiunto il supporto preliminare per ottimizzazioni LTO quando si utilizza il compilatore Clang.\n<li class=\"l\"> \u00c8 stato proposto il decoratore \u00ab@nuitka_ignore\u00bb per escludere la compilazione di funzioni.\n<li class=\"l\"> Sono state implementate le opzioni: \u00ab--project\u00bb per la costruzione utilizzando le impostazioni dal file pyproject.toml, \u00ab--devel-profile-compilation\u00bb per il profiling in fase di costruzione, \u00ab--debug-self-forking\u00bb per il debug delle fork-bomb, \u00ab--include-windows-runtime-dlls\u00bb per gestire l'inclusione delle DLL di runtime C in Windows, \u00ab--qt-debug-plugins\u00bb per diagnosticare il caricamento dei plugin Qt.\n<li class=\"l\"> Aggiunta la compatibilit\u00e0 con le versioni pi\u00f9 recenti dei pacchetti oracledb, win32ctypes, dask, dataparser, puremagic, pygments.lexers, tomli, av, sentry_sdk, jedi, parso, line_profiler e pandas.    <\/ul>\n<p>Inoltre, si pu\u00f2 notare il rapporto sul progresso dello sviluppo del compilatore JIT in CPython. Gli sviluppatori si sono posti l'obiettivo di aumentare le prestazioni del JIT del 5% entro il rilascio di CPython 3.15 e del 10% entro il rilascio di 3.16, realizzando la possibilit\u00e0 di utilizzare il JIT in modalit\u00e0 Free-threading (senza lock globale). Nello stato attuale, l'uso del JIT nelle versioni alpha di CPython 3.15 mostra gi\u00e0 un'accelerazione media dell'11-12% sulla piattaforma macOS AArch64 e del 5-6% sulla piattaforma x86_64 Linux rispetto all'interprete standard. In alcuni test, l'attivazione del JIT varia da un'accelerazione di oltre il 100% a una diminuzione del 20% delle prestazioni.        <center><img decoding=\"async\" alt=\"Uscita di Nuitka 4.0, il compilatore per il linguaggio Python. Progresso nello sviluppo del JIT in CPython.\" src=\"\/wp-content\/uploads\/2026\/04\/d5bfb854a0fa96af00648383bcc97187.png\" style=\"display:block;margin: 0 auto;\" \/><\/center><br \/>\n<br \/>Fonte: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=65271\">opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u0414\u043e\u0441\u0442\u0443\u043f\u0435\u043d \u0432\u044b\u043f\u0443\u0441\u043a \u043f\u0440\u043e\u0435\u043a\u0442\u0430 Nuitka 4.0, \u0440\u0430\u0437\u0432\u0438\u0432\u0430\u044e\u0449\u0435\u0433\u043e \u043a\u043e\u043c\u043f\u0438\u043b\u044f\u0442\u043e\u0440 \u0434\u043b\u044f \u0442\u0440\u0430\u043d\u0441\u043b\u044f\u0446\u0438\u0438 \u0441\u043a\u0440\u0438\u043f\u0442\u043e\u0432 \u043d\u0430 \u044f\u0437\u044b\u043a\u0435 Python \u0432 \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u0438\u0435 \u043d\u0430 \u044f\u0437\u044b\u043a\u0435 C, \u043a\u043e\u0442\u043e\u0440\u043e\u0435 \u0437\u0430\u0442\u0435\u043c \u043c\u043e\u0436\u043d\u043e \u0441\u043a\u043e\u043c\u043f\u0438\u043b\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0432 \u0438\u0441\u043f\u043e\u043b\u043d\u044f\u0435\u043c\u044b\u0439 \u0444\u0430\u0439\u043b, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0449\u0438\u0439 libpython \u0434\u043b\u044f \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0435\u043d\u0438\u044f \u043c\u0430\u043a\u0441\u0438\u043c\u0430\u043b\u044c\u043d\u043e\u0439 \u0441\u043e\u0432\u043c\u0435\u0441\u0442\u0438\u043c\u043e\u0441\u0442\u0438 \u0441 CPython (\u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0442\u0441\u044f \u0448\u0442\u0430\u0442\u043d\u044b\u0435 \u0441\u0440\u0435\u0434\u0441\u0442\u0432\u0430 CPython \u0434\u043b\u044f \u0443\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u044f \u043e\u0431\u044a\u0435\u043a\u0442\u0430\u043c\u0438). \u041e\u0431\u0435\u0441\u043f\u0435\u0447\u0435\u043d\u0430 \u043f\u043e\u043b\u043d\u0430\u044f \u0441\u043e\u0432\u043c\u0435\u0441\u0442\u0438\u043c\u043e\u0441\u0442\u044c \u0441 \u0430\u043a\u0442\u0443\u0430\u043b\u044c\u043d\u044b\u043c\u0438 \u0432\u044b\u043f\u0443\u0441\u043a\u0430\u043c\u0438 Python 2.6, 2.7, 3.4 &#8212; 3.13. \u041f\u043e \u0441\u0440\u0430\u0432\u043d\u0435\u043d\u0438\u044e \u0441 [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":8,"featured_media":169834,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-169833","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-novosti-interneta"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.10 - 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Progresso dello sviluppo JIT in CPython | ProHoster","description":"\u00c8 disponibile la pubblicazione del progetto Nuitka 4.0, che sviluppa un compilatore per la traduzione di script in Python in un formato in C, successivamente compilabile in un file eseguibile che utilizza libpython per garantire la massima compatibilit\u00e0 con CPython (utilizzando gli strumenti standard di CPython per la gestione degli oggetti). \u00c8 garantita la piena compatibilit\u00e0 con le versioni recenti di Python 2.6, 2.7, 3.4 - 3.13. 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