Can Python's pickle/cpickle/dill speed up imports?
The import latency is most likely due to loading the dependent shared objects of the GEOS-library.
Optimising this could maybe done, but it would be very hard. One way would be to build a statically compiled custom python interpreter with all DLLs and extension modules built in. But maintaining that would be a major PITA (trust me - I do it for work).
Another option is to turn your application into a service, thus only incurring the runtime-cost of starting the interpreter up once.
It depends on your actual problem if this is suitable.
Can pickle/dill/cpickle be used to pickle an imported module to improve import speed? The Shapely module for example takes 5 seconds on my system to find and load all of the required dependencies, which I'd really like to avoid. 
Can I pickle my imports once, then reuse that pickle instead of having to do slow imports every time?