October 2024
Intermediate to advanced
226 pages
6h 1m
Spanish
Content preview from Escalando Python con Dask
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Prefacio
Este trabajo se ha traducido utilizando IA. Agradecemos tus opiniones y comentarios: translation-feedback@oreilly.com
Escribimos este libro para científicos de datos e ingenieros de datos familiarizados con Python y pandas que buscan manejar problemas a mayor escala de lo que les permiten sus herramientas actuales. Los usuarios actuales de PySpark descubrirán que parte de este material se solapa con sus conocimientos actuales de PySpark, pero esperamos que les siga resultando útil, y no sólo para alejarse de la Máquina Virtual Java (JVM).
Si no estás familiarizado con Python, algunos títulos excelentes de O'Reilly son Learning Python y Python for Data Analysis. Si tú y tu equipo sois usuarios más frecuentes de lenguajes JVM (como Java o Scala), aunque somos un poco parciales, te animamos a que eches un vistazo a Apache Spark junto con Learning Spark (O'Reilly) y High Performance Spark (O'Reilly).
Este libro se centra principalmente en la ciencia de datos y tareas relacionadas porque, en nuestra opinión, es ahí donde Dask destaca más. Si tienes un problema más general para el que Dask no parece encajar del todo, te animamos (de nuevo con un poco de parcialidad) a que le eches un vistazo a Scaling Python with Ray (O'Reilly), que se centra menos en la ciencia de datos.
Una nota sobre la responsabilidad
Como dice el refrán, un gran poder conlleva una gran responsabilidad. Dask y herramientas similares te permiten procesar más datos y construir modelos más complejos. Es esencial ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.