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This repo consists of me revewing my Python skills after having learnt it around~2020 and 2021.
I automated a good deal of Linear Algebra Assigmnets along the way, I'll share some screenshots below
Screenshots
Quick Note
I do want to make a visual interpretation of this in the future. For the moment being, it is just text *:)*
Gram Schmidt Algorithm. Generate an orthogonal basis from any vector V = {n1,n2,...}
Inner Product, Vector Projection onto a Span W={b1,b2}
What I learned
Python is very efficient and friendly at computational tasks.
I can now see why python is widley used in all types of data science, research, and developement. Thanks for stopping by!
About
Gram Schmidt, Vector projection,Span, and Python Review