> it's not just a fault of the language, but also neglect or lack of resources in fields where programming is secondary in nature. A lack of resources for port

> it's not just a fault of the language, but also neglect or lack of resources in fields where programming is secondary in nature. A lack of resources for porting and maintaining code to new language versions is totally typical for most of science. There are simply no jobs or incentives to do that, especially if you want to have any kind of career in science. Further, python developers seemed to think that the bulk of code and maintenance work is in the language implementation and that the many small libraries and scripts are not important. But this is not the case, similar to that in trees, a rather large part of the biomass is not in the trunk, but in the roots and leaves. And the small application scripts and libraries used in science change much more slowly than the main language revisions. You could argue that this does not matter because most of python's applications are not in science, at least not if you look at the respective amount of money moved. But this fails to take into account that a lot of python's success was so far based on its use in science, especially numerical python and data analysis.