October 2024
Intermediate to advanced
226 pages
6h 1m
Spanish
Content preview from Escalando Python con Dask
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Capítulo 3. Cómo funciona Dask: Lo básico
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Ahora que has ejecutado tus primeras tareas con Dask, es hora de aprender un poco sobre lo que ocurre entre bastidores. Dependiendo de si estás utilizando Dask localmente o de forma distribuida, el comportamiento puede ser un poco diferente. Aunque Dask hace un buen trabajo abstrayendo muchos de los detalles de la ejecución en múltiples hilos o servidores, tener una comprensión sólida de cómo funciona Dask te ayudará a decidir mejor cómo y cuándo utilizarlo.
Para familiarizarte con Dask, necesitas comprender:
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El marco de implementación en el que Dask puede funcionar, y sus puntos fuertes y débiles
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Los tipos de datos que Dask es capaz de leer, y cómo puedes interactuar con los tipos de datos en Dask
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El patrón computacional de Dask, y cómo convertir tus ideas en código Dask
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Cómo monitorizar y solucionar problemas
En este capítulo, presentaremos cada uno de estos conceptos, y los ampliaremos en el resto del libro.
Backends de ejecución
Dask tiene muchos backends de ejecución diferentes , pero nos resulta más fácil pensar en ellos en dos grupos, locales y distribuidos. Con los backends locales, estás limitado en escala a lo que puede manejar un solo ordenador. Los backends locales también tienen ventajas, como evitar la sobrecarga de la red, una gestión de bibliotecas más sencilla y un menor coste en dólares.1 El ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.