Terms like Scripting, Interpreted and Dynamic are not "marketing terms". New, Improved, All Natural, Visual, Groovy, Lucid, etc., are marketing terms. I regret giving the impression that one should "not to spend time trying to get definitions that are exacting". One absolutely must get definitions which are exacting. Clearly, I failed. Exact definitions matter.
Hiding behind the edge and corner cases, however, isn't helpful. Just because some terms could be redundant, or could be ambiguous (when stripped of useful meaning) isn't really a helpful thing. Harping on the "ambiguity" or "contradiction" or "redundancy" isn't helpful. Yes, Python has edge cases. Outside the purity of mathematics, no categorization is ever perfect.
Scripting. The Python community steers away from this because it's limiting. However, it's also true. What's important is that some folks overlook this and over-engineer solutions. Python modules require three things (1) an appropriate #! line, (2) a mode that includes appropriate "x" mode flags and (3) a location on the PATH to be indistinguishable from binary executables.
I find it necessary to repeat "scripting" to prevent over-engineering. Clearly, scripting isn't a completely distinct dimension of language description, but it's still an important clarification to many of the people I work with.
Python's on this scripting language list.
[We had a RHEL system with SELinux settings that prevented Python scripts from running. A sysadmin said -- seriously -- that I just needed to use `sudo su -` to get past this. The admin, it appeared, couldn't see why Python scripts should behave exactly like all other scripts. Hence the need to emphasize that Python is a scripting language. Otherwise people forget.]
Interpreted. Python is a byte-code interpreter. Saying things like "compiling to machine code is also interpreted" eliminates all meaning from the words, so it can't be true or useful. We need to distinguish between compiled to machine code and interpreted; machine code binary executes directly. And Python doesn't compile to machine code. Python is interpreted.
[The fact that some hardware had microprogramming is irrelevant; there are programmable ASIC chips in my Macintosh, that doesn't matter to my Python interpreter. There's a clear line between the binary machine code and the Python or Java interpreter. Yes, there are other levels of abstraction. No, they don't matter when discussing the nature of Python.]
You can use cython or py2exe or py2app to create binaries from Python. But that's not the interpreted Python language. This is the distinction I'm trying to emphasize.
I find it necessary to repeat "interpreted" so people are not confused by the presence of visible bytecode cache (.pyc) files.
Dynamic. Python is dynamic. Dynamic is clearly distinct from the other dimensions. There's less confusion over this word, but it still fails to sink in.
I find that this needs to be repeated frequently so people stop looking for static type declarations. The number of Stack Overflow questions that include "python" and "declaration" is always disappointing.