October 2024
Intermediate to advanced
226 pages
6h 1m
Spanish
Content preview from Escalando Python con Dask
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Capítulo 1. ¿Qué es Dask? ¿Qué es Dask?
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Dashk es un marco para la computación paralela con Python que escala desde múltiples núcleos en una máquina hasta centros de datos con miles de máquinas. Dispone tanto de APIs de tareas de bajo nivel como de APIs de alto nivel centradas en los datos. Las API de tareas de bajo nivel potencian la integración de Dask con una amplia variedad de bibliotecas de Python. Disponer de API públicas ha permitido que crezca un ecosistema de herramientas en torno a Dask para diversos casos de uso.
Continuum Analytics, ahora conocida como Anaconda Inc, inició el proyecto Blaze, de código abierto y financiado por DARPA, que ha evolucionado hasta convertirse en Dask. Continuum ha participado en el desarrollo de muchas bibliotecas esenciales e incluso en conferencias en el espacio del análisis de datos en Python. Dask sigue siendo un proyecto de código abierto, y gran parte de su desarrollo cuenta ahora con el apoyo de Coiled.
Dask es único en el ecosistema de la computación distribuida, porque integra bibliotecas populares de ciencia de datos, computación paralela y científica. La integración de Dask de distintas bibliotecas permite a los desarrolladores reutilizar gran parte de sus conocimientos existentes a escala. También pueden reutilizar con frecuencia parte de su código con cambios mínimos.
¿Por qué necesitas Dask?
Dask simplifica el ...
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