Dynamic typing brings many benefits in terms of ease of use to users; on the other hand, it can potentially introduce additional overhead due to runtime type checking.
As an interpreted language, Python lacks JIT compilation, which is a necessary technique for increasing execution speeds. Dynamic typing brings many benefits in terms of ease of use to users; on the other hand, it can potentially introduce additional overhead due to runtime type checking. This dynamic nature, combined with the lack of static typing, has negatively affected the actual performance of Python in certain computational tasks when compared to statically typed languages.