From the course: Python Functions for Data Science
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Linear algebra operations with SciPy - Python Tutorial
From the course: Python Functions for Data Science
Linear algebra operations with SciPy
- The scipy library is foundational for scientific computing and it's an important toolbox for data scientists. The scipy library is composed of task-specific sub-modules built on top of the numpy library. A scipy sub-module that will come in handy when working with data is the one that supports linear algebra operations. To illustrate how to use the sub-module, I'll be walking through a couple of examples. First, I'll input the numpy library and give it the alias np like this. Then I'll input the linear algebra sub-module from the scipy library like this. Now I'll go ahead and create a numpy array that represents a 2 by 2 matrix and save it in a variable. To compute the determinate of this matrix, i can use the det function from scipy then your algebra module which takes in a square matrix and returns its determinant. Note that a square matrix is a matrix whose number of rows is equal to…
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