Python is wildly popular now, and it is great for small scripts and interactive data analysis, but I don't see any real long-term strengths. It is not growing and is very slow in comparison to most languages. There are soooo many interesting projects out there. Perl6 is very immature from an implementation perspective, but is just as easy to use as Python, but has waaay more power and flexibility under the hood. The OO model is more advanced, the semantics are clean and elegant, you can do real FP, easy asynch based off of C#, grammar based programming...etc. Python can do a lot of that with modules, but having it all in one consistent package is nice. On another note, there are sooo many languages that although maybe not as flexible as Perl6, they run blazingly fast. Think of Crystal (Ruby syntax with native speed and no dependencies), Dlang, Go, Rust, Red (fast and dynamic language in a 1.3 MB runtime...you can even access a systems language DSL...the best GUI system I've ever seen). So basically we have new languages that have the advantage of an easy syntax like python, but are waaay faster and not mostly locked in place (Guido doesn't like feature bloat). There is also Elixr...etc. Python isn't dead, but I don't think a JIT is enough at this stage and I'm mostly moving on. Python's hold on scientists is being challenged by Julia which will be just as easy to use, but also once again...much faster. Let's not forget that C# is actively maintained by a large and very well funded team at Microsoft and is constantly adding new features like LINQ and now things from F#, which is a great language on its own. I don't take Haskell seriously. Note that I think it is very advanced and can be quite fast, but it is also very hard for most people to understand things like Monads (just Monoids in the category of Endofunctors...wtf) or Currying...etc. I expect Python to remain around for a very long time (you can still find Cobol at banks and I rely on Fortran every day, but I really hope it is not still in the top 5 on the Tiobe in 10 years unless Python 4 is a rewrite from scratch to have a few more features and run on LLVM...oh wait we already have Nim that is basically Python syntax transpiled to C & then compiled with gcc or clang to get ~40 years of optimizations.
My uses for python are data analysis, helper scripts, command-line apps, glue on Linux servers, glue on windows where it acts as a better CMD (I've tried powershell, but I don't gain much and often lose in speed as 8/10 ways to do something work, but are dog slow).
The bar is large open source projects, which indicates that it's very easy for a drive by developer to isolate a bug and fix it or implement a feature.