{"id":144639,"date":"2025-10-10T11:11:59","date_gmt":"2025-10-10T09:12:04","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/oczenka-izmeneniya-proizvoditelnosti-cpython-za-poslednie-5-let"},"modified":"2025-10-10T11:11:59","modified_gmt":"2025-10-10T09:12:04","slug":"oczenka-izmeneniya-proizvoditelnosti-cpython-za-poslednie-5-let","status":"publish","type":"post","link":"https:\/\/prohoster.info\/it\/blog\/novosti-interneta\/oczenka-izmeneniya-proizvoditelnosti-cpython-za-poslednie-5-let","title":{"rendered":"Valutazione del cambiamento delle prestazioni di CPython negli ultimi 5 anni","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Miguel Grinberg, autore di diversi libri sui framework Python SQLAlchemy e Flask, ha pubblicato i risultati dei test di prestazione delle versioni CPython da 3.9 a 3.14. Inoltre, sono stati condotti test simili per Pypy 3.11 (un'implementazione di Python con compilatore JIT), Node.js 24 e Rust 1.90. Per le versioni CPython 3.13 e 3.14 \u00e8 stata anche misurata la prestazione attivando il compilatore JIT e la modalit\u00e0 di costruzione Free-threading senza blocco globale.       <\/p>\n<p>Per modificare le prestazioni sono stati utilizzati script per calcolare i numeri di Fibonacci (ricorsione profonda) e l'ordinamento a bolle di numeri generati casualmente, eseguiti in modalit\u00e0 monothread e con suddivisione in 4 thread. I test sono stati eseguiti su Ubuntu 24.04 su un laptop con CPU Intel Core i5 e su macOS Sequoia su un laptop con SoC Apple M2.    <\/p>\n<p>In molti test, CPython 3.14 si \u00e8 dimostrato pi\u00f9 veloce della versione 3.13 di circa il 20%, mentre in alcuni test le versioni 3.11 e 3.12 sono risultate pi\u00f9 veloci della 3.13. Il divario tra la 3.14 e le versioni 3.9 e 3.10 \u00e8 stato di circa due volte. Pypy, Node.js e Rust hanno superato CPython 3.14 nel primo test rispettivamente di 4.93, 4.88 e 69.82 volte, e nel secondo test di 18.14, 6.64 e 36.15 volte, rispettivamente (sono stati confrontati solo i modelli monothread).         <center><img decoding=\"async\" alt=\"Valutazione del cambiamento delle prestazioni di CPython negli ultimi 5 anni\" src=\"\/wp-content\/uploads\/2025\/10\/357cecabeb5bdc275256573f65b05a92.png\" style=\"display:block;margin: 0 auto;\" \/><\/center>  <center><img decoding=\"async\" alt=\"Valutazione del cambiamento delle prestazioni di CPython negli ultimi 5 anni\" src=\"\/wp-content\/uploads\/2025\/10\/2a25ea9a27f3cd95974a88c13fc54899.png\" style=\"display:block;margin: 0 auto;\" \/><\/center>      <center><img decoding=\"async\" alt=\"Valutazione del cambiamento delle prestazioni di CPython negli ultimi 5 anni\" src=\"\/wp-content\/uploads\/2025\/10\/f0428f5681de84577830b40c8d974759.png\" style=\"display:block;margin: 0 auto;\" \/><\/center>  <center><img decoding=\"async\" alt=\"Valutazione del cambiamento delle prestazioni di CPython negli ultimi 5 anni\" src=\"\/wp-content\/uploads\/2025\/10\/b7639b8c660f35233a0047d281b65607.png\" style=\"display:block;margin: 0 auto;\" \/><\/center>      <\/p>\n<p>La modalit\u00e0 senza blocco globale in CPython 3.14 ha permesso di raddoppiare le prestazioni di esecuzione multithread. L'attivazione della modalit\u00e0 JIT in CPython non ha portato a un incremento significativo delle prestazioni, e nel test della versione 3.14 su macOS ha persino rallentato l'esecuzione.    <center><img decoding=\"async\" alt=\"Valutazione del cambiamento delle prestazioni di CPython negli ultimi 5 anni\" src=\"\/wp-content\/uploads\/2025\/10\/bc91465f4625c9daeb724b8bfb0f2fb1.png\" style=\"display:block;margin: 0 auto;\" \/><\/center>  <center><img decoding=\"async\" alt=\"Valutazione del cambiamento delle prestazioni di CPython negli ultimi 5 anni\" src=\"\/wp-content\/uploads\/2025\/10\/5e2aabc90587a9a691cff7dc489bba17.png\" style=\"display:block;margin: 0 auto;\" \/><\/center>          <\/p>\n<p>Nei test monothread, la modalit\u00e0 senza blocco globale ha notevolmente rallentato l'esecuzione delle attivit\u00e0, mentre la modalit\u00e0 JIT ha avuto quasi nessun impatto sulle prestazioni.      <center><img decoding=\"async\" alt=\"Valutazione del cambiamento delle prestazioni di CPython negli ultimi 5 anni\" src=\"\/wp-content\/uploads\/2025\/10\/cb3133dd9367b219644a096b26ac5412.png\" style=\"display:block;margin: 0 auto;\" \/><\/center>  <center><img decoding=\"async\" alt=\"Valutazione del cambiamento delle prestazioni di CPython negli ultimi 5 anni\" src=\"\/wp-content\/uploads\/2025\/10\/0c77fa360f9da7a2e67c34bb40a32e84.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=64029\">opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041c\u0438\u0433\u0435\u043b\u044c \u0413\u0440\u0438\u043d\u0431\u0435 (Miguel Grinberg), \u0430\u0432\u0442\u043e\u0440 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u0445 \u043a\u043d\u0438\u0433 \u043f\u043e Python-\u0444\u0440\u0435\u0439\u043c\u0432\u043e\u0440\u043a\u0430\u043c SQLAlchemy \u0438 Flask, \u043e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043b \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b \u0442\u0435\u0441\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438 \u0432\u0435\u0442\u043e\u043a CPython \u0441 3.9 \u043f\u043e 3.14. \u0414\u043e\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u043e \u0430\u043d\u0430\u043b\u043e\u0433\u0438\u0447\u043d\u044b\u0435 \u0442\u0435\u0441\u0442\u044b \u043f\u0440\u043e\u0432\u0435\u0434\u0435\u043d\u044b \u0434\u043b\u044f Pypy 3.11 (\u0440\u0435\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u044f Python \u0441 JIT-\u043a\u043e\u043c\u043f\u0438\u043b\u044f\u0442\u043e\u0440\u043e\u043c), Node.js 24 \u0438 Rust 1.90. \u0414\u043b\u044f \u0432\u044b\u043f\u0443\u0441\u043a\u043e\u0432 CPython 3.13 \u0438 3.14 \u0434\u043e\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u043e \u0438\u0437\u043c\u0435\u0440\u0435\u043d\u0430 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c \u043f\u0440\u0438 \u0432\u043a\u043b\u044e\u0447\u0435\u043d\u0438\u0438 JIT-\u043a\u043e\u043c\u043f\u0438\u043b\u044f\u0442\u043e\u0440\u0430 \u0438 \u0440\u0435\u0436\u0438\u043c\u0430 \u0441\u0431\u043e\u0440\u043a\u0438 Free-threading \u0431\u0435\u0437 [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":144640,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-144639","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 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u041c\u0438\u0433\u0435\u043b\u044c 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di prestazione delle versioni CPython da 3.9 a 3.14. Test simili sono stati condotti anche per Pypy 3.11 (un'implementazione di Python con compilatore JIT), Node.js 24 e Rust 1.90. Per le versioni CPython 3.13 e 3.14, \u00e8 stata misurata anche la prestazione con l'attivazione del compilatore JIT e della modalit\u00e0 di assemblaggio Free-threading.","canonical_url":"https:\/\/prohoster.info\/it\/blog\/novosti-interneta\/oczenka-izmeneniya-proizvoditelnosti-cpython-za-poslednie-5-let","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":null,"og:locale":"it_IT","og:site_name":"ProHoster | \u041a\u0443\u043f\u0438\u0442\u044c \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u0439 \u0445\u043e\u0441\u0442\u0438\u043d\u0433 \u0434\u043b\u044f \u0441\u0430\u0439\u0442\u043e\u0432 \u0441 \u0437\u0430\u0449\u0438\u0442\u043e\u0439 \u043e\u0442 DDoS, VPS VDS \u0441\u0435\u0440\u0432\u0435\u0440\u044b","og:type":"article","og:title":"\ud83e\udd47\u041e\u0446\u0435\u043d\u043a\u0430 \u0438\u0437\u043c\u0435\u043d\u0435\u043d\u0438\u044f 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