{"id":54905,"date":"2020-01-07T00:00:00","date_gmt":"2020-01-06T21:00:00","guid":{"rendered":"https:\/\/prohoster.info\/blog\/blog_prohoster\/vypusk-kompilyatora-nuitka-0-6-6-prekrashhenie-podderzhki-python-2-7-pereneseno-na-aprel"},"modified":"2020-02-18T14:02:57","modified_gmt":"2020-02-18T11:02:57","slug":"vypusk-kompilyatora-nuitka-0-6-6-prekrashhenie-podderzhki-python-2-7-pereneseno-na-aprel","status":"publish","type":"post","link":"https:\/\/prohoster.info\/it\/blog\/novosti-interneta\/vypusk-kompilyatora-nuitka-0-6-6-prekrashhenie-podderzhki-python-2-7-pereneseno-na-aprel","title":{"rendered":"Rilascio del compilatore Nuitka 0.6.6. Il supporto per Python 2.7 \u00e8 stato posticipato ad aprile","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Preparato<\/a><\/noindex> il rilascio del progetto Nuitka 0.6.6<\/a><\/noindex>, nell'ambito del quale si sviluppa un compilatore che consente di tradurre uno script scritto in Python in una rappresentazione in C++, che pu\u00f2 poi essere compilata in un file eseguibile utilizzando libpython per garantire la massima compatibilit\u00e0 con CPython (vengono utilizzati gli strumenti standard di CPython per gestire gli oggetti). \u00c8 garantita la piena compatibilit\u00e0 con le versioni recenti di Python 2.x e 3.x. Rispetto a CPython, gli script compilati dimostrano<\/a><\/noindex> nei test pystone un incremento delle prestazioni del 312%. Il codice del progetto distribuito<\/a><\/noindex> \u00e8 sotto licenza Apache. <\/p>\n

Nella nuova versione \u00e8 stata aggiunta la supporto sperimentale per Python 3.8 e
\n\u00e8 stata garantita la compatibilit\u00e0 con le librerie e le applicazioni
\nsklearn, osgeo, gdal, dill, scikit-image, skimage, weasyprint, dask, pendulum, pytz e pytzdata. In distutils \u00e8 stato aggiunto il supporto per singoli moduli (py_modules, non solo pacchetti) e pacchetti con spazi dei nomi separati. Ottimizzata la gestione delle variabili nei cicli e implementate versioni ottimizzate delle funzioni incorporate abs e all, oltre a velocizzare l'esecuzione delle operazioni con i tipi int e long. Sono stati effettuati numerosi miglioramenti mirati a ridurre il consumo di memoria.<\/p>\n

Inoltre, si pu\u00f2 notare, trasferimento<\/a><\/noindex> da gennaio ad aprile tempo fine del supporto<\/a><\/noindex> rami di Python 2. Ad aprile 2020 verr\u00e0 rilasciato l'ultimo aggiornamento finale per il ramo Python 2.7, dopo il quale non verranno pubblicate ulteriori versioni correttive. Tuttavia, il lavoro per risolvere le vulnerabilit\u00e0 in Python 2.7 continuer\u00e0 da parte dei membri della comunit\u00e0 interessati a mantenere il supporto per questo ramo nei loro prodotti. Ad esempio, l'azienda Red Hat continuer\u00e0<\/a><\/noindex> supporto per i pacchetti Python 2.7 durante tutto il del ciclo di vita<\/a><\/noindex> il ciclo di vita di RHEL 6 e 7, e per RHEL 8 saranno forniti aggiornamenti dei pacchetti nell'Application Stream fino a giugno 2024. Ricordiamo che il ramo Python 2.7 \u00e8 stato \u00e8 stata creata<\/a><\/noindex> creato nel 2010 e inizialmente si prevedeva di interromperne il supporto nel 2015, ma a causa di una migrazione<\/a><\/noindex> non abbastanza attiva dei progetti a Python 3, la vita di Python 2 \u00e8 stata estesa fino al 2020.<\/p>\n

<\/a><\/noindex><\/p>\n

Fonte: opennet.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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