# Solving linear equations using SciPy's linalg.solve function

by kanika Updated: Apr 6, 2023

Solution Kit

Linear equations involve two or more variables, where each variable is raised to the first power, and there are no products or powers of variables. Scipy's linalg.solve function can be used to solve linear equations by providing a coefficient matrix and an array of the right-hand sides of the equations.

Scipy linalg.solve is a function in the SciPy library for Python programming that can be used to solve systems of linear equations. It takes a matrix of coefficients as its argument and returns the solution vector of the system of equations.

Here is an example of solving linear equations using SciPy's linalg.solve function

Fig 1: Preview of the output that you will get on running this code from your IDE

### Code

In this solution, we use the linalg.solve function of the SciPy library.

### Instructions

Follow the steps carefully to get the output easily.

1. Install Jupyter Notebook on your computer.
2. Open terminal and install the required libraries with following commands.
3. Install scipy - pip install scipy.
4. Copy the code using the "Copy" button above, and paste it into your IDE's Python file.
5. Import scipy library.
6. Use scipy in place of np.
7. Remove the last 3 lines of code.
8. Run the file to solve linear equations using SciPy's linalg.solve function.

I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.

I found this code snippet by searching for "How to solve linear equations using SciPy's linalg.solve function?" in kandi. You can try any such use case!

### Dependent Libraries

scipyby scipy

Python 11340 Version:v1.11.0rc1

SciPy library main repository

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scipyby scipy

Python 11340 Version:v1.11.0rc1 License: Permissive (BSD-3-Clause)

SciPy library main repository
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Quality
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Reuse

If you do not have SciPy that is required to run this code, you can install it by clicking on the above link and copying the pip Install command from the scipy page in kandi.

You can search for any dependent library on kandi like scipy

### Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

1. The solution is created in Python 3.9.6
2. The solution is tested on SciPy version 1.9.3

Using this solution, we are able to solve linear equations using scipy's linalg.solve function. It can also be used for finding the inverse of a matrix or calculating the determinant of a matrix.

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