{"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\/es\/blog\/news\/vypusk-kompilyatora-nuitka-0-6-6-prekrashhenie-podderzhki-python-2-7-pereneseno-na-aprel","title":{"rendered":"Lanzamiento del compilador Nuitka 0.6.6. El final del soporte para Python 2.7 se ha pospuesto hasta abril.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Preparado<\/a><\/noindex> lanzamiento del proyecto Nuitka 0.6.6<\/a><\/noindex>, en el marco del cual se desarrolla un compilador que permite traducir scripts en el lenguaje Python a una representaci\u00f3n en C++, que luego puede ser compilada en un archivo ejecutable que utiliza libpython para garantizar la m\u00e1xima compatibilidad con CPython (se utilizan las herramientas est\u00e1ndar de CPython para gestionar objetos). Se asegura una compatibilidad total con las versiones actuales de Python 2.x y 3.x. En comparaci\u00f3n con CPython, los scripts compilados demuestran<\/a><\/noindex> en las pruebas pystone un aumento de rendimiento del 312%. El c\u00f3digo del proyecto se distribuye<\/a><\/noindex> bajo la licencia Apache. <\/p>\n

En la nueva versi\u00f3n se ha a\u00f1adido soporte experimental para Python 3.8 y
\nse ha asegurado la compatibilidad con las bibliotecas y aplicaciones
\nsklearn, osgeo, gdal, dill, scikit-image, skimage, weasyprint, dask, pendulum, pytz y pytzdata. En distutils se ha a\u00f1adido soporte para m\u00f3dulos individuales (py_modules, no solo paquetes) y paquetes con espacios de nombres separados. Se ha optimizado el manejo de variables en bucles y se han implementado versiones optimizadas de las funciones incorporadas abs y all, as\u00ed como se ha acelerado la ejecuci\u00f3n de operaciones con tipos int y long. Se han realizado numerosas mejoras orientadas a reducir el consumo de memoria.<\/p>\n

Tambi\u00e9n se puede se\u00f1alar que, traslado<\/a><\/noindex> de enero a abril la fecha de finalizaci\u00f3n del soporte<\/a><\/noindex> de la rama Python 2. En abril de 2020 se publicar\u00e1 la \u00faltima actualizaci\u00f3n final de la rama Python 2.7, despu\u00e9s de lo cual no se publicar\u00e1n versiones de correcci\u00f3n. Sin embargo, el trabajo para resolver vulnerabilidades en Python 2.7 continuar\u00e1 por parte de miembros de la comunidad interesados en seguir apoyando esta rama en sus productos. Por ejemplo, la empresa Red Hat continuar\u00e1<\/a><\/noindex> ciclo de vida de las distribuciones RHEL 6 y 7, y para RHEL 8 se generar\u00e1n actualizaciones de paquetes en Application Stream hasta junio de 2024.<\/a><\/noindex> de las distribuciones RHEL 6 y 7, y para RHEL 8 se generar\u00e1n actualizaciones de paquetes en Application Stream hasta junio de 2024. Recordemos que la rama Python 2.7 fue form\u00f3<\/a><\/noindex> en 2010 y su soporte originalmente estaba programado para finalizar en 2015, pero debido a la migraci\u00f3n insuficientemente activa<\/a><\/noindex> la migraci\u00f3n de proyectos a Python 3, la vida \u00fatil de Python 2 se ha extendido hasta 2020.<\/p>\n

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

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

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