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

 

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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

 

Further episodes of Data Science at Home

Further podcasts by Francesco Gadaleta

Website of Francesco Gadaleta