{"ok":true,"nota":{"id":"26141ee58bb02ecd","slug":"como-convertir-simulaciones-largas-en-python-en-una-plataforma-que-cua-26141e","titulo":"Cómo convertir simulaciones largas en Python en una plataforma que cualquiera pueda usar sola","resumen":"El autor cuenta su experiencia armando un sistema en AWS para correr simulaciones de Python que tardan mucho. Habla de colas de tareas, recuperación ante fallos y de lograr que los resultados se puedan repetir.","fuente":"tds","fuenteNombre":"Towards Data Science","color":"#2d6a3e","autor":"Anand Rawat","url":"https://towardsdatascience.com/how-to-turn-long-running-python-simulations-into-a-self-service-platform/","imagen":"/hoy/portada/26141ee58bb02ecd","tema":"tecnologia","subtemas":["computacion en la nube","simulaciones","python","reproducibilidad","colas de tareas"],"entidades":["Towards Data Science","AWS"],"formato":"dato","entretenimiento":false,"pubTs":"2026-10-21T14:00:00.000Z","indexTs":"2026-10-21T16:39:55.345Z","hash":"dce2a247fe9e6246e213d7ddea1a7c1039091b0340d3b61611c0f2ea4ed96b8c","tsa":{"time":"Oct 21 16:41:10 2026 GMT","provider":"freetsa.org","sobre":"sello"},"stats":{"views":0,"likes":0,"clicks":0,"dwell":0},"tipo":"normal","registro":"hallazgo","porQueImporta":"Muchas investigaciones y proyectos quedan trabados porque las simulaciones tardan horas y dependen de una sola persona que las corre. Organizar el proceso en colas y con recuperación ante errores permite que otros la usen sin pedir ayuda cada vez. Para equipos chicos de acá, con poco presupuesto de cómputo, esto marca la diferencia entre un experimento que se pierde y uno que se puede repetir. Lo que no se dice es cuánto cuesta mantener esa infraestructura en el tiempo.","quienFirma":"Towards Data Science","confianza":"divulgacion","consulta":null},"sello":{"hash":"dce2a247fe9e6246e213d7ddea1a7c1039091b0340d3b61611c0f2ea4ed96b8c","sello":"d63131093ac741d988c36b94e131bf7fb3994b4295598eee5489e0ee23b6e2cb","beacon":{"drand":{"cadena":"8990e7a9aaed2ffed73dbd7092123d6f289930540d7651336225dc172e51b2ce","ronda":6572328,"aleatorio":"f3af1286ddb5d122a9e7fe9b7ae8594b7e641f59536340ffeac292c34e2787ce","tiempo":"2026-10-21T16:41:00.000Z"},"nist":{"cadena":2,"pulso":1993369,"salida":"46902ECFB36399313FFB65B445E71293DBF949380A38ED8B222CF72E430037F81238506B220BC468F19AAF1083C6EF424CA492E1A3404D8F36DA9E790C7B253D","tiempo":"2026-10-21T16:40:00.000Z"},"noAntes":"2026-10-21T16:41:00.000Z"},"verificacion":{"drand":true,"nist":true},"tsa":{"time":"Oct 21 16:41:10 2026 GMT","provider":"freetsa.org","sobre":"sello"},"original":{"titulo":"How to Turn Long-Running Python Simulations Into a Self-Service Platform","descripcion":"What I learned about queues, failure recovery, and reproducibility while building asynchronous workloads on AWS The post How to Turn Long-Running Python Simulations Into a Self-Service Platform appeared first on Towards Data Science .","pubDate":"Wed, 21 Oct 2026 14:00:00 GMT","url":"https://towardsdatascience.com/how-to-turn-long-running-python-simulations-into-a-self-service-platform/"},"indexado":"2026-10-21T16:39:55.345Z"}}