# Linear Algebra in Python: Matrix Inverses and Least Squares

**Linear algebra** is an important topic across a variety of subjects. It allows you to solve problems related to **vectors**, **matrices**, and **linear equations**. In Python, most of the routines related to this subject are implemented in `scipy.linalg`

, which offers very fast linear algebra capabilities.

In particular, **linear models** play an important role in a variety of real-world problems, and `scipy.linalg`

provides tools to compute them in an efficient way.

**In this tutorial, youâ€™ll learn how to:**

- Study linear systems using
**determinants**and solve problems using**matrix inverses** **Interpolate polynomials**to fit a set of points using linear systems- Use Python to
**solve linear regression problems** - Use linear regression to
**predict prices**based on historical data

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