Coding Vignette- Linear Algebra in Numpy

Click here for a video on basic linear algebra in Numpy.

I’m not sure how many of you have had experience with using python for linear algebra, so I decided to make a short video that goes over the basics of numpy (you are free to use R or Julia as well). I also solve a problem where I re-express the formula for the pseudoinverse of a matrix using the singular value decomposition of that matrix. I did it sort of to show how you might write out a long math expression in markdown, and to talk about matrix algebra and the properties of the SVD. This calculation is quite a bit more invovled than what I am asking on the homework, so don’t be intimidated.

Click here to watch the video on youtube

You may also find the numpy documentation helpful: Click Here

I have also included the ipython notebook