It really depends on what you end up doing. A lot of "python" code is really just thin wrappers around fairly optimized C routines (although there's inefficiencies from the wrapper, and the optimization barriers), so if you're doing something where the bulk of the work is happening inside those routines, beginner-written julia code will end up being roughly comparable to expert-written numpy code or whatever.
But yeah if you're writing a loop or something else where the majority of work is actually being done by python itself, then it's going to typically be much much slower than the equivalent julia code.
