Tutorial on Matrix Operations in Python Using NumPy Library - Multiply, Add, Transpose, Invert

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In this Python and numerical computing tutorial, we explain how to define matrices in Python and how to perform basic matrix operations in Python. To perform the basic matrix operations, we use the NumPy library. In particular, we explain how to

- Define matrices in Python by using NumPy.
- Define zero matrices and identity matrices in Python by using NumPy.
- How to access matrix entries, and how to access rows and columns.
- How to retrieve the matrix shapes and dimensions.
- How to perform matrix operations such as addition, multiplication, and transpose.
- How to define block matrices in Python by using NumPy.
- How to invert matrices.
- How to load and save matrices to from files in NumPy.

[aleksandarhaber]

It takes a significant amount of time and energy to create these free video tutorials. You can support my efforts in this way:
- You Can also press the Thanks YouTube Dollar button

[divyasitani]

teaching a tutorial for matrix operations this week. Loving the Video Aleksandar :)