Website Maintenance Alert
Due to scheduled maintenance, the USENIX website will not be available on Tuesday, December 17, from 10:00 am to 2:00 pm Pacific Daylight Time (UTC -7). We apologize for the inconvenience.
If you are trying to register for Enigma 2020, please complete your registration before or after this time period.
Other Faces of Python

Peter Norton
I'd like to talk about uses for serialized data this time, looking at them through contrasting language-neutral formats: YAML and protocol buffers. These will be the basis for discussing an interesting Python interpreter, specially built to make working with protocol buffers easier.
Wikipedia (https://en.wikipedia.org/wiki/Serialization) has a really great, straightforward definition of serialization: "the process of translating data structures or object state into a format that can be stored." YAML is a really easy format for serialization/deserialization for simple Python data types since it represents data structures in a way that's really similar to how Python does; in my experience, however, this is not so much the case for defined types.
To access this content, please purchase a USENIX Membership.

This content is available to:
