Is Rust flexible enough for a flexible data model? (Ep. 137) episode artwork

EPISODE · Feb 1, 2021 · 28 MIN

Is Rust flexible enough for a flexible data model? (Ep. 137)

from Data Science at Home · host Francesco Gadaleta

In this podcast I get inspired by Paul Done's presentation about The Six Principles for Building Robust Yet Flexible Shared Data Applications, and show how powerful of a language Rust is while still maintaining the flexibility of less strict languages.   Our Sponsor This episode is supported by Chapman’s Schmid College of Science and Technology, where master's and PhD students join in cutting-edge research as they prepare to take the next big leap in their professional journey. To learn more about the innovative tools and collaborative approach that distinguish the Chapman program in Computational and Data Sciences, visit chapman.edu/datascience  

Episode metadata supplied by the publisher feed · Published Feb 1, 2021

Embed this episode

NOW PLAYING

Is Rust flexible enough for a flexible data model? (Ep. 137)

0:00 28:37

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of Data Science at Home?

This episode is 28 minutes long.

When was this Data Science at Home episode published?

This episode was published on February 1, 2021.

Can I download this Data Science at Home episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!