September 2024
Intermediate to advanced
328 pages
8h 54m
Spanish
Content preview from Álgebra lineal práctica para la ciencia de datos
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Capítulo 2. Vectores, Parte 1
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Los vectores proporcionan los cimientos sobre los que se construye todo el álgebra lineal (y, por tanto, el resto de este libro).
Al final de este capítulo, lo sabrás todo sobre los vectores: qué son, qué hacen, cómo interpretarlos y cómo crearlos y trabajar con ellos en Python. Comprenderás las operaciones más importantes que actúan sobre los vectores, incluyendo el álgebra vectorial y el producto punto. Por último, aprenderás sobre las descomposiciones vectoriales, que es uno de los principales objetivos del álgebra lineal.
Creación y visualización de vectores en NumPy
En álgebra lineal, un vector es una lista ordenada de números. (En álgebra lineal abstracta, los vectores pueden contener otros objetos matemáticos, incluidas las funciones; sin embargo, como este libro se centra en las aplicaciones, sólo consideraremos los vectores que comprenden números).
Los vectores tienen varias características importantes. Las dos primeras con las que empezaremos son
- Dimensionalidad
-
El número de números del vector
- Orientación
-
Si el vector está en orientación columna (erguido) o en orientación fila (tumbado y ancho)
La dimensionalidad se indica a menudo utilizando un donde el indica números de valor real (cf. para los números de valor complejo) y indica la dimensionalidad. Por ejemplo, se dice que un vector con dos elementos ...
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