{"id":1125,"date":"2023-04-18T15:41:48","date_gmt":"2023-04-18T15:41:48","guid":{"rendered":"https:\/\/marcuspsychology.com\/?p=1125"},"modified":"2023-11-29T22:33:36","modified_gmt":"2023-11-29T22:33:36","slug":"los-paradigmas-de-programacion-que-son-y-de-donde","status":"publish","type":"post","link":"https:\/\/marcuspsychology.com\/index.php\/2023\/04\/18\/los-paradigmas-de-programacion-que-son-y-de-donde\/","title":{"rendered":"Los Paradigmas de Programaci\u00f3n: Qu\u00e9 son y de d\u00f3nde vinieron"},"content":{"rendered":"<p>Las t\u00e9cnicas simb\u00f3licas como la reflexi\u00f3n, que permiten que el programa se refiera a s\u00ed mismo, tambi\u00e9n pueden ser consideradas como un paradigma de programaci\u00f3n. Sin embargo, esto es compatible <a href=\"https:\/\/www.contrareplica.mx\/nota-curso-en-linea-desarrollo-frontend-202321129\">curso de desarrollo web<\/a> con los principales paradigmas y, por lo tanto, no es un paradigma real por derecho propio. Cuando trabajas con evaluaci\u00f3n impaciente, es crucial considerar la funci\u00f3n que est\u00e1s utilizando.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"302px\" alt=\"paradigmas en programacion\"\/><\/p>\n<p>Solemos explicar el concepto de la programaci\u00f3n orientada a objetos mirando el mundo real. En nuestra v\u00edda encontramos sistemas que est\u00e1n compuestos por muchas piezas (por ejemplo el cuerpo humano compuesto de coraz\u00f3n, cerebro, miembros, etc.) que colaboran entre s\u00ed para realizar sus funciones. Luego, cada una de  esas piezas, como el cerebro, puede estar compuesta de diversos elementos, como las neuronas y las conexiones nerviosas.<\/p>\n<h2>Programaci\u00f3n orientada a objetos:<\/h2>\n<p>Esta programaci\u00f3n estructurada utiliza un n\u00famero limitado de estructuras de control y creando un flujo bien definido de ejecuci\u00f3n del software. Esto facilita la comprensi\u00f3n de los programas, reduce considerablemente los errores y facilita la extensibilidad y adaptabilidad del c\u00f3digo. En el paradigma de programaci\u00f3n orientada a objetos todos los elementos de un programa son tratados como un objeto que cuenta con sus propios atributos. La relaci\u00f3n y el comportamiento entre esos objetos es lo que permite dar forma al&nbsp;software.<\/p>\n<p>Existen miles de lenguajes de programaci\u00f3n, cada uno dise\u00f1ado con prop\u00f3sitos y funcionalidades espec\u00edficas, por lo que dominar las caracter\u00edsticas del lenguaje de programaci\u00f3n elegido es determinante. Hoy en d\u00eda se utilizan muchos lenguajes de programaci\u00f3n que se basan en el paradigma de programaci\u00f3n imperativa. Este paradigma ampl\u00eda el enfoque de los paradigmas imperativos, haciendo posible la segregaci\u00f3n o desglose de los algoritmos en componentes llamados procedimientos, funciones, rutinas o subprogramas, seg\u00fan el lenguaje de programaci\u00f3n.<\/p>\n<h2>Soporte para m\u00faltiples paradigmas[editar]<\/h2>\n<p>Se trata del&nbsp;paradigma cl\u00e1sico de programaci\u00f3n, donde se definen en el c\u00f3digo,&nbsp;paso a paso, cada una de las instrucciones que se deben  ejecutar en un programa. Pero tambi\u00e9n hay lenguajes modernos que soportan varios paradigmas simult\u00e1neamente. Adem\u00e1s, su amplia aplicaci\u00f3n en \u00e1reas emergentes como la ciencia de datos y la IA convierten el conocimiento en este lenguaje de programaci\u00f3n en una habilidad imprescindible en nuestros d\u00edas.<\/p>\n<div style='border: black dashed 1px;padding: 14px;'>\n<h3>38\u00ba Festival Internacional de Cine de Mar del Plata: programaci\u00f3n y &#8230; &#8211; GPS Audiovisual<\/h3>\n<p>38\u00ba Festival Internacional de Cine de Mar del Plata: programaci\u00f3n y &#8230;.<\/p>\n<p>Posted: Sun, 05 Nov 2023 07:00:00 GMT [<a href='https:\/\/news.google.com\/rss\/articles\/CBMigwFodHRwczovL2dwc2F1ZGlvdmlzdWFsLmNvbS8yMDIzLzExLzA1LzM4by1mZXN0aXZhbC1pbnRlcm5hY2lvbmFsLWRlLWNpbmUtZGUtbWFyLWRlbC1wbGF0YS1wcm9ncmFtYWNpb24teS1hY3RpdmlkYWRlcy1kZWwtZG9taW5nby01L9IBAA?oc=5' rel=\"nofollow\">source<\/a>]<\/p>\n<\/div>\n<p>En pocas palabras, es una forma de desarrollar un software en donde se trabaja con una red as\u00edncrona. Esta contiene determinada informaci\u00f3n que se va distribuyendo e interactuando <a href=\"https:\/\/elmanana.com.mx\/tecnologia\/2023\/11\/24\/un-curso-de-analista-de-datos-para-integrarse-al-sector-ti-112671.html\">https:\/\/elmanana.com.mx\/tecnologia\/2023\/11\/24\/un-curso-de-analista-de-datos-para-integrarse-al-sector-ti-112671.html<\/a> a trav\u00e9s de todo el sistema sin llegar a interrumpir ning\u00fan proceso. En este caso se utilizan las funciones como pilar principal de esta estructura de programaci\u00f3n.<\/p>\n<h2>Paradigma de programaci\u00f3n l\u00f3gica<\/h2>\n<p>Es una programaci\u00f3n en la que t\u00fa le dices al programa lo que tiene que hacer, no sabes como funciona por detr\u00e1s pero el programa lo hace. Por ejemplo cuando haces la consulta de ventas en tu tienda del mes marzo en SQL, no sabes que hizo el programa para traerte esos datos pero los trajo, y es por que por debajo ya existen m\u00e9todos y funciones que lo hacen. Este ha sido un art\u00edculo de cultura general sobre los tipos de programaci\u00f3n que nos podemos encontrar en nuestra vida profesional. Lo m\u00e1s normal es que los vayamos estudiando en distintas etapas de nuestra vida como programadores. Se trata de una programaci\u00f3n m\u00e1s compleja y laboriosa que la programaci\u00f3n secuencial, por lo que solamente se usa cuando realmente es necesario para resolver una funcionalidad concreta dentro de las aplicaciones. Este tipo de programaci\u00f3n se utiliza cuando tenemos que realizar varias acciones a la vez.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Las t\u00e9cnicas simb\u00f3licas como la reflexi\u00f3n, que permiten que el programa se refiera a s\u00ed mismo, tambi\u00e9n pueden ser consideradas como un paradigma de programaci\u00f3n. Sin embargo, esto es compatible curso de desarrollo web con los principales paradigmas y, por lo tanto, no es un paradigma real por derecho propio. Cuando trabajas con evaluaci\u00f3n impaciente, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"footnotes":""},"categories":[244],"tags":[],"class_list":["post-1125","post","type-post","status-publish","format-standard","hentry","category-bootcamp-de-programacion"],"_links":{"self":[{"href":"https:\/\/marcuspsychology.com\/index.php\/wp-json\/wp\/v2\/posts\/1125","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/marcuspsychology.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/marcuspsychology.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/marcuspsychology.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/marcuspsychology.com\/index.php\/wp-json\/wp\/v2\/comments?post=1125"}],"version-history":[{"count":1,"href":"https:\/\/marcuspsychology.com\/index.php\/wp-json\/wp\/v2\/posts\/1125\/revisions"}],"predecessor-version":[{"id":1126,"href":"https:\/\/marcuspsychology.com\/index.php\/wp-json\/wp\/v2\/posts\/1125\/revisions\/1126"}],"wp:attachment":[{"href":"https:\/\/marcuspsychology.com\/index.php\/wp-json\/wp\/v2\/media?parent=1125"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/marcuspsychology.com\/index.php\/wp-json\/wp\/v2\/categories?post=1125"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/marcuspsychology.com\/index.php\/wp-json\/wp\/v2\/tags?post=1125"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}