  TeNPy (short for 'Tensor Network Python') is a python library for the
simulation of strongly correlated quantum systems with tensor networks. The
philosophy of this library is to achieve a balance of readability and usability
for new-comers, while at the same time providing powerful algorithms for
experts. The focus is on MPS algorithms for 1D and 2D lattices, such as DMRG
ground state search, as well as dynamics using TEBD, TDVP, or MPO evolution.
This article is a companion to the recent version 1.0 release of TeNPy and
gives a brief overview of the package.
