Python Tutorial: Learn Scipy - Linear Algebra linalg() in 10 Minutes

NumPy (Numeric Python) package provides basic functions for manipulating large arrays and matrices of numeric data. SciPy (Scientific Python) package extends the functionality of NumPy, such as linear algebra, integration (calculus), ordinary differential equation solving, and signal processing.
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[@gumpenaprasanth6142]

Great video

[@eMasterClassAcademy]

Thanks

[@tymothylim6550]

Thank you very much for this video! It gave me a fantastic overview of how Scipy is used for Linear Algebra! :)

[@jesusnunez6228]

Great video! It goes straight to the point. Thank you so much.

[@djpenton779]

useful summary. thanks.

[@Rarapooh1907]

This is very enlightening method, how about solving ndarray with dimension 20x20, does it still use the same method? or simply by using linalg.lstsq method?

[@bastianian2939]

Why does the eigenvectors come out so weird all the time. It can be really hard to decipher what they really are. Any way of rounding so the numbers comes out cleaner?