{"id":834,"date":"2025-11-02T09:00:13","date_gmt":"2025-11-02T12:00:13","guid":{"rendered":"https:\/\/numeralcoder.com.ar\/?p=834"},"modified":"2025-10-22T09:06:55","modified_gmt":"2025-10-22T12:06:55","slug":"nuevas-funciones-de-la-biblioteca-de-python","status":"publish","type":"post","link":"https:\/\/numeralcoder.com.ar\/?p=834","title":{"rendered":"Nuevas funciones de la biblioteca de Python"},"content":{"rendered":"<p data-block-key=\"arhj5\">Con la biblioteca de Python, es muy f\u00e1cil realizar consultas comunes sobre datos de Data Commons, como las siguientes:<\/p>\n<ul>\n<li data-block-key=\"brfgi\">Explorar la estructura del grafo de conocimiento.<\/li>\n<li data-block-key=\"adlsj\">Recuperar datos para cualquiera de las m\u00e1s de 200,000 variables estad\u00edsticas de m\u00e1s de 200 conjuntos de datos, en dominios como demograf\u00eda, econom\u00eda, educaci\u00f3n, energ\u00eda, medio ambiente, salud y vivienda.<\/li>\n<li data-block-key=\"coov3\">Asignar f\u00e1cilmente entidades de otros conjuntos de datos a entidades de Data Commons.<\/li>\n<\/ul>\n<p data-block-key=\"50f95\">\nLa versi\u00f3n 2 de la biblioteca cliente ofrece muchas mejoras t\u00e9cnicas en comparaci\u00f3n con la biblioteca V1, como las siguientes:<\/p>\n<ul>\n<li data-block-key=\"4loh1\">Las APIs de marcos de datos de Pandas son compatibles como un m\u00f3dulo integral, con un paquete de instalaci\u00f3n \u00fanico, lo que permite usarlas sin problemas con otros puntos finales de API en el mismo cliente.<\/li>\n<li data-block-key=\"efguf\">Varios m\u00e9todos nuevos de conveniencia para consultas de datos comunes.<\/li>\n<li data-block-key=\"5bbgh\">Administraci\u00f3n de claves de API y otras operaciones con estado integradas en la clase de cliente.<\/li>\n<li data-block-key=\"1qul\">Integraci\u00f3n con las bibliotecas Pydantic para mejorar la seguridad de los tipos, la validaci\u00f3n y la serializaci\u00f3n.<\/li>\n<li data-block-key=\"5sv72\">Soporte para m\u00faltiples formatos de respuesta, incluidos diccionarios y listas JSON y Python.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Con la biblioteca de Python, es muy f\u00e1cil realizar consultas comunes sobre datos de Data Commons, como las siguientes: Explorar la estructura del grafo de conocimiento. Recuperar datos para cualquiera de las m\u00e1s de 200,000 variables estad\u00edsticas de m\u00e1s de 200 conjuntos de datos, en dominios como demograf\u00eda, econom\u00eda, educaci\u00f3n, energ\u00eda, medio ambiente, salud y&#8230;<\/p>\n","protected":false},"author":1,"featured_media":835,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[56],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.7 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Nuevas funciones de la biblioteca de Python - Numeral Coder<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/numeralcoder.com.ar\/?p=834\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Nuevas funciones de la biblioteca de Python - Numeral Coder\" \/>\n<meta property=\"og:description\" content=\"Con la biblioteca de Python, es muy f\u00e1cil realizar consultas comunes sobre datos de Data Commons, como las siguientes: Explorar la estructura del grafo de conocimiento. 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