Imagine that each Python module runs as a microservice. For many modules this would lead to huge performance degradation, for example a regexp module can be called thousands times per second, the running time of a call is usually short and replacing an in-process call with a network call will give 100-1000x slowdown.
But if you take a different use case of the same module - complex regexps running on large texts, potentially causing out-of-memory errors, then packing the module into a microservice can make sense - separate processes can have large caches, an out-of-memory error terminates an instance of a microservice only and not the calling process.
Generally I think the advice should be to always use source code modules in the first place, and create microservices using these modules for specific use cases only involving runtime needs like caching, fault tolerance, scalability.