Could I write constraints like YALMIP in Matlab (A*x<=b) with PuLP?

[a280558071]

There's a famous optimization tool named YALMIP in Matlab, which supports constraints modeling as:
A=[1,2;3,4]; b=[5;6]; x=sdpvar(2,1); Cons=[A*x<=b];
Now that Python also has NumPy and PuLP, is it possible to model constraints as above?