Contenido del Curso
Getting into NumPy Basics
Linear Algebra Operations
NumPy offers a plethora of functions for executing linear algebra operations on arrays, including matrix multiplication, transposition, inversion, and decomposition. Key functions include:
dot(): Computes the dot product of two arrays;transpose(): Transposes an array;inv(): Computes the inverse of a matrix;linalg.svd(): Performs the singular value decomposition of a matrix;linalg.eig(): Determines the eigenvalues and eigenvectors of a matrix.
Tarea
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- Compute the dot product of the arrays.
- Transpose the first array.
- Compute the inverse of the second array.
Mark tasks as Completed
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones¿Todo estuvo claro?
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NumPy offers a plethora of functions for executing linear algebra operations on arrays, including matrix multiplication, transposition, inversion, and decomposition. Key functions include:
dot(): Computes the dot product of two arrays;transpose(): Transposes an array;inv(): Computes the inverse of a matrix;linalg.svd(): Performs the singular value decomposition of a matrix;linalg.eig(): Determines the eigenvalues and eigenvectors of a matrix.
Tarea
Swipe to show code editor
- Compute the dot product of the arrays.
- Transpose the first array.
- Compute the inverse of the second array.
Mark tasks as Completed
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opcionesSección 1. Capítulo 5
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