September 2024
Intermediate to advanced
338 pages
9h 21m
Spanish
Content preview from Python para Excel
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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.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.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.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.
Capítulo 4. Fundamentos de NumPy
Este trabajo se ha traducido utilizando IA. Agradecemos tus opiniones y comentarios: translation-feedback@oreilly.com
Como recordarás en del Capítulo 1, NumPy es el paquete central para la computación científica en Python, que proporciona soporte para cálculos basados en matrices y álgebra lineal. Como NumPy es la columna vertebral de pandas, en este capítulo voy a introducir sus fundamentos: tras explicar qué es una matriz NumPy, veremos la vectorización y la difusión, dos conceptos importantes que te permiten escribir código matemático conciso y que volverás a encontrar en pandas. Después, veremos por qué NumPy ofrece funciones especiales llamadas funciones universales, antes de terminar este capítulo aprendiendo a obtener y establecer valores de un array y explicando la diferencia entre una vista y una copia de un array NumPy. Aunque apenas utilizaremos NumPy directamente en este libro, conocer sus fundamentos nos facilitará el aprendizaje de pandas en el capítulo siguiente.
Primeros pasos con NumPy
En esta sección, aprenderemos sobre las matrices NumPy unidimensionales y bidimensionales y qué hay detrás de los términos técnicos vectorización, difusión y función universal.
Matriz NumPy
Para realizar cálculos basados en matrices con listas anidadas, tal y como las conocimos en el capítulo anterior, tendrías que escribir algún tipo de bucle. Por ejemplo, para añadir un número a cada elemento de una lista anidada, puedes utilizar la siguiente ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access
More than 5,000 organizations count on O’Reilly
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.