  In this expository note, we give a modern proof of Hanson-Wright inequality
for quadratic forms in sub-gaussian random variables. We deduce a useful
concentration inequality for sub-gaussian random vectors. Two examples are
given to illustrate these results: a concentration of distances between random
vectors and subspaces, and a bound on the norms of products of random and
deterministic matrices.
