Greetings,

This is Ryan Cooper (ME professor at University of Connecticut). I've been using Numpy in my mechanical engineering courses for years now, and I'd like to build resources for newcomers to Numpy. 

Here is my proposed contribution:

Advise engineering students here at UConn to build How-to notebooks for Numpy applications. This would give the students some great experience communicating concepts and procedures to a broader community and it would help future users see how to use Numpy in different applications. 

Some How-to's that I had in mind would be:

• Saving and loading Numpy arrays
• Doing fast fourier transform (FFT) on time-series data to find natural frequencies 
• Solving linear sets of equations for circuits or another linear system with linear algebra
• using eigenvalues for natural frequency calculations