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Linear Algebra Using Python PDF Form

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hello today we're going to be solving a system of linear equations using python specifically the library numpy the reason we're using numpy is because it's first of all optimized for Speed saving you time and second has a lot of pre-built in methods uh such as uh numpy Matrix which will allow you to have matrices and give you the freedom to be able to multiply them without worrying about are the elements multiplying um row times column etc etc and it gives you the advantage of uh having a linear algebra part of this library that allow you to find the inverse find the determinant uh very quickly and efficiently saving you time so the first step to solving system linear equations using python is to put into Matrix form so in our equation 1 a plus 1 b equal 35 the coefficients 1 and 1 in 1 a + 1 B will become the coefficients going across the first row of our matric a 1 1 and in our second equation 2 a + 4 B = 94 the 2 and the four will go in the second row or matr

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