{"id":248,"date":"2022-05-28T04:46:55","date_gmt":"2022-05-28T02:46:55","guid":{"rendered":"http:\/\/www.starlightantra.com\/public\/starlightantra\/?p=248"},"modified":"2024-05-06T11:23:22","modified_gmt":"2024-05-06T09:23:22","slug":"que-son-los-paradigmas-de-programacion","status":"publish","type":"post","link":"https:\/\/www.starlightantra.com\/public\/starlightantra\/2022\/05\/28\/que-son-los-paradigmas-de-programacion\/","title":{"rendered":"\u00bfQu\u00e9 son los paradigmas de programaci\u00f3n?"},"content":{"rendered":"<p>En la actualidad, BASIC es muy querido por los fan\u00e1ticos de las PC retro y a\u00fan se desarrolla, aunque rara vez se utiliza como un lenguaje pr\u00e1ctico. Existen m\u00faltiples dialectos adaptados para diferentes plataformas, siendo m\u00e1s comunes en el entorno de Microsoft. Sus descendientes, como Visual Basic, Visual Basic para Aplicaciones (VBA) y Microsoft Small Basic, siguen siendo relevantes. Es importante tener en cuenta que no hay un paradigma de programaci\u00f3n \u00abmejor\u00bb que otro, ya que cada uno tiene sus ventajas y desventajas seg\u00fan el contexto y los requerimientos del proyecto.<\/p>\n<h2>Los lenguajes de programaci\u00f3n m\u00e1s usados en 2024<\/h2>\n<p>En este paradigma, los programas se dividen en peque\u00f1as partes llamadas m\u00f3dulos, los cuales permiten la visualizaci\u00f3n y manipulaci\u00f3n de datos de manera clara y aislada. Uno de los mayores beneficios de la programaci\u00f3n orientada a objetos es que se pueden crear objetos que representen entidades del mundo real. Por ejemplo, si estamos construyendo una aplicaci\u00f3n para una librer\u00eda, podemos crear un objeto \u201cLibro\u201d que contenga informaci\u00f3n como el t\u00edtulo, autor y n\u00famero de p\u00e1ginas.<\/p>\n<h2>Pros y contras de cada paradigma de programaci\u00f3n<\/h2>\n<p>Tambi\u00e9n hemos explorado el mundo de las variables, esas peque\u00f1as cajitas donde guardamos informaci\u00f3n valiosa. Pero recuerda, no las confundas con tus ex\u2019s, las variables pueden cambiar, pero siempre est\u00e1n ah\u00ed cuando las necesitas. En primer lugar,  hemos descubierto que programar es como ser el director de una orquesta de c\u00f3digos. Tienes que asegurarte de que todas las piezas encajen perfectamente para que la melod\u00eda de tu programa suene como los \u00e1ngeles. Este paradigma no necesita definir algoritmos puesto que describe el problema en lugar de encontrar una soluci\u00f3n al mismo. Este paradigma utiliza el principio del razonamiento l\u00f3gico para responder a las preguntas o cuestiones consultadas.<\/p>\n<h2>El aprendizaje de varios paradigmas permite una mayor flexibilidad y adaptabilidad ante distintos problemas<\/h2>\n<ul>\n<li>Actualmente muchos lenguajes de programaci\u00f3n funcional est\u00e1n adquiriendo cierta relevancia porque hay algunos problemas que se resuelven de manera mucho m\u00e1s sencilla y elegante con este estilo de programaci\u00f3n.<\/li>\n<li>Una funci\u00f3n lambda es una funci\u00f3n an\u00f3nima que no tiene un nombre definido y se puede utilizar dentro de otra funci\u00f3n.<\/li>\n<li>A medida que los lenguajes de programaci\u00f3n evolucionan, tambi\u00e9n lo hacen las mejores pr\u00e1cticas y las convenciones de codificaci\u00f3n.<\/li>\n<li>Esto permite que el c\u00f3digo se reutilice y hace que el programa sea m\u00e1s f\u00e1cil de entender.<\/li>\n<\/ul>\n<p>En este enfoque, el \u00e9nfasis est\u00e1 en la declaraci\u00f3n de hechos y reglas, y en la inferencia l\u00f3gica para llegar a conclusiones. En este art\u00edculo hemos revisado de manera muy simplificada y superficial algunos de los paradigmas de la programaci\u00f3n m\u00e1s relevantes. Se evita el cambio de estado y la mutabilidad de los datos, lo que facilita la escritura de c\u00f3digo m\u00e1s conciso y f\u00e1cil de razonar. La programaci\u00f3n reactiva se utiliza en una variedad de aplicaciones, desde interfaces de usuario interactivas hasta sistemas de transmisi\u00f3n de datos en tiempo real. Algunos ejemplos de bibliotecas y marcos de trabajo populares que implementan programaci\u00f3n reactiva son RxJava, RxJS, Reactor y RxSwift. En la programaci\u00f3n reactiva, se utilizan estructuras de datos llamadas \u00abstreams\u00bb o \u00abflujos\u00bb para representar secuencias de eventos o cambios en los datos.<\/p>\n<ul>\n<li>Por ejemplo, en un programa que calcula el promedio de una lista de n\u00fameros, la estructura if-else se puede usar para determinar si se han ingresado suficientes n\u00fameros para calcular el promedio.<\/li>\n<li>Esto implica dividir un programa en m\u00f3dulos m\u00e1s peque\u00f1os, cada uno de los cuales realiza una tarea espec\u00edfica.<\/li>\n<li>En la actualidad, los lenguajes de programaci\u00f3n evolucionan r\u00e1pidamente debido a varios factores.<\/li>\n<li>El paradigma funcional se centra en el uso de funciones para resolver problemas, evitando el cambio de estado y la mutabilidad de los datos.<\/li>\n<\/ul>\n<p>Se basa en la idea de que los sistemas deber\u00edan ser capaces de reaccionar de manera autom\u00e1tica y eficiente a los cambios en los datos o en el estado del sistema. Este enfoque es especialmente \u00fatil en aplicaciones donde la informaci\u00f3n fluye constantemente y los eventos pueden ocurrir en cualquier momento. Podemos definir un objeto como una estructura abstracta que, de manera m\u00e1s fiable, describe un posible objeto del mundo real y su <a href=\"https:\/\/efectociudadano.mx\/conseguir-un-salario-por-encima-del-promedio-en-el-mundo-de-los-datos-gracias-al-bootcamp-de-tripleten\/\">curso de an\u00e1lisis de datos<\/a> relaci\u00f3n con el resto del mundo que lo rodea a trav\u00e9s de interfaces. Antes de la programaci\u00f3n estructurada los programas eran listados enormes en los que no hab\u00eda separaci\u00f3n del problema, simplemente l\u00edneas de c\u00f3digo una detr\u00e1s de otra. Los programas se ejecutaban secuencialmente, pero el programador pod\u00eda en un momento dado enviar el flujo de ejecuci\u00f3n a otra l\u00ednea del listado, generando flujos poco predecibles y poco intuitivos.<\/p>\n<h2>\u00bfQu\u00e9 son los paradigmas de programaci\u00f3n y qu\u00e9 tipos hay?<\/h2>\n<p>Este tipo de paradigma se emplea en aplicaciones de inteligencia artificial y el lenguaje utilizado es el PROLOG. La programaci\u00f3n modular es muy parecida a funcionaL y la orientada a objetos, en este caso se divide el programa en bloques llamados m\u00f3dulos, que son l\u00f3gicos y funcionales. Este m\u00f3dulo contiene sentencias que resuelven un problema <a href=\"https:\/\/lacronicasiete.com\/mexico\/conseguir-un-salario-por-encima-del-promedio-en-el-mundo-de-los-datos-gracias-al-bootcamp-de-tripleten\/\">https:\/\/lacronicasiete.com\/mexico\/conseguir-un-salario-por-encima-del-promedio-en-el-mundo-de-los-datos-gracias-al-bootcamp-de-tripleten\/<\/a> espec\u00edfico y cada m\u00f3dulo posee su propia funci\u00f3n, estos pueden ser editados o modificados conforme se vaya realizando el proyecto. Es considerado el paradigma cl\u00e1sico, porque consiste en ir detallando las instrucciones o sentencias de c\u00f3mo resolver un problema paso por paso, caracteriz\u00e1ndose por el uso de variables, comandos y procedimientos.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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width=\"303px\" alt=\"paradigmas de programacion\"\/><\/p>\n<h2>Programaci\u00f3n imperativa: el paradigma de programaci\u00f3n cl\u00e1sico<\/h2>\n<div style='text-align:center'><iframe width='563' height='316' src='https:\/\/www.youtube.com\/embed\/hNRFVslcMC0' frameborder='0' alt='paradigmas de programacion' allowfullscreen><\/iframe><\/div>\n<p>Despu\u00e9s de todo, existen cientos de lenguajes de programaci\u00f3n, pero no todos ellos son apropiados para el  desarrollo web. Para que te sea un poco m\u00e1s f\u00e1cil decidirte y puedas comenzar con tu proyecto cuanto antes, te contamos un poco m\u00e1s sobre los lenguajes de programaci\u00f3n web m\u00e1s populares. Los subtipos de la programaci\u00f3n <a href=\"https:\/\/cafeterodigital.co\/entrar-en-el-mundo-de-los-datos-con-el-bootcamp-de-tripleten-para-ganar-un-salario-por-encima-del-promedio\/\">https:\/\/cafeterodigital.co\/entrar-en-el-mundo-de-los-datos-con-el-bootcamp-de-tripleten-para-ganar-un-salario-por-encima-del-promedio\/<\/a> declarativa son muy importantes para la inform\u00e1tica en general y al mismo tiempo cuentan con aplicaciones muy vers\u00e1tiles. El tratamiento especial de funciones permite a los programadores que trabajan de forma funcional componer y aplicar nuevas normas de c\u00e1lculo de gran alcance a partir de funciones.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>En la actualidad, BASIC es muy querido por los fan\u00e1ticos de las PC retro y a\u00fan se desarrolla, aunque rara vez se utiliza como un lenguaje pr\u00e1ctico. Existen m\u00faltiples dialectos adaptados para diferentes plataformas, siendo m\u00e1s comunes en el entorno de Microsoft. Sus descendientes, como Visual Basic, Visual Basic para Aplicaciones (VBA) y Microsoft Small [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[7],"tags":[],"_links":{"self":[{"href":"https:\/\/www.starlightantra.com\/public\/starlightantra\/wp-json\/wp\/v2\/posts\/248"}],"collection":[{"href":"https:\/\/www.starlightantra.com\/public\/starlightantra\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.starlightantra.com\/public\/starlightantra\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.starlightantra.com\/public\/starlightantra\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.starlightantra.com\/public\/starlightantra\/wp-json\/wp\/v2\/comments?post=248"}],"version-history":[{"count":1,"href":"https:\/\/www.starlightantra.com\/public\/starlightantra\/wp-json\/wp\/v2\/posts\/248\/revisions"}],"predecessor-version":[{"id":249,"href":"https:\/\/www.starlightantra.com\/public\/starlightantra\/wp-json\/wp\/v2\/posts\/248\/revisions\/249"}],"wp:attachment":[{"href":"https:\/\/www.starlightantra.com\/public\/starlightantra\/wp-json\/wp\/v2\/media?parent=248"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.starlightantra.com\/public\/starlightantra\/wp-json\/wp\/v2\/categories?post=248"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.starlightantra.com\/public\/starlightantra\/wp-json\/wp\/v2\/tags?post=248"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}