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Home > Data Science at Home > Is Rust flexible enough for a flexible data model? (Ep. 137)
Podcast: Data Science at Home
Episode:

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

Category: Technology
Duration: 00:28:37
Publish Date: 2021-02-01 01:54:33
Description:

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.

 

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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

 

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