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How does rapid prototyping fit into an agile methodology?

I work for a large company, which dictates the use of agile processes. For example, for our projects, we use cloud-based services that are specifically targeted at managing agile development.

The specific engineering group I work for has not traditionally developed software (instead we help drive projects from a much more birds-eye point of view), but that is changing. We have a wide range of upcoming/planned software projects that are mostly data-centric - e.g., we will be doing data monitoring, collection, aggregation, and some reporting. Other tasks involve automation with specialized hardware and various types of client/server (multitiered) architectures. I am to assist in the process of hiring several people, and formulating many of our plans in moving forward.

My question is whether or not doing rapid prototyping (throwaway code) fits into an agile philosophy. For example, I love Python and its wide range of packages. I see the possibility of implementing many of our ideas very quickly with a Python based workflow. However, I think that there will be a lot of perceptions that Python is not "enterprise-quality", and much of this work would need to be rewritten in Java or maybe C++.

However, creating the Python prototypes would give us a lot of bang for our buck in enabling us to quickly deliver real results.

Have you been able to incorporate rapid prototyping - hopefully in Python - into a solid agile workflow in an enterprise environment?