I've written Python for over a decade. There are two problems with Python.
First, the excellent readability leads directly into hard-to-read code structures. This might seem paradoxical but Dijkstra insisted that the same thing happened in FORTRAN, and I'm willing to defer to his instinct that there's something about the "shut up and calculate" approach that physicists have which causes a predilection for both FORTRAN and Python.
Second, Python 2 to Python 3 was horrible, and created political problems which hadn't existed before. Now, at the end of the transition, we can see how badly it was managed; Python 2 could have been retrofitted with nearly every breaking change and it would have been lower-friction. Instead, there's now millions of lines of rotting Python 2 code which will never be updated again. Curiously, this happened in the FORTRAN world too; I wasn't around for it, but FORTRAN 77 was so popular compared to future revisions and standardizations that it fractured the FORTRAN community.
First, the excellent readability leads directly into hard-to-read code structures. This might seem paradoxical but Dijkstra insisted that the same thing happened in FORTRAN, and I'm willing to defer to his instinct that there's something about the "shut up and calculate" approach that physicists have which causes a predilection for both FORTRAN and Python.
Second, Python 2 to Python 3 was horrible, and created political problems which hadn't existed before. Now, at the end of the transition, we can see how badly it was managed; Python 2 could have been retrofitted with nearly every breaking change and it would have been lower-friction. Instead, there's now millions of lines of rotting Python 2 code which will never be updated again. Curiously, this happened in the FORTRAN world too; I wasn't around for it, but FORTRAN 77 was so popular compared to future revisions and standardizations that it fractured the FORTRAN community.