Python: Dict Comprehension Example

Just like list comprehensions, dictionary comprehensions help the Python programmer quickly construct an alternative structure from something more permanent. The application we're working with probably has a schema, and from that, we can only do so much as we implement new functionality over time. So rather than alter the data model that supports the application, why not create something transient? This is where the comprehension idea is powerful, at very efficiently constructing new data sources. You can use this approach to creating new lists and dictionaries that stick around for the duration of the program, but a more useful use case is in creating a temporary search space.