From SQL to Julia: Data Science’s Other Programming Languages

Python might be the bread-and-butter coding language for data scientists and ML practitioners, but the benefits of becoming a programming polyglot are as clear as ever. The projects that data teams work on cross platforms and architectures, and being able to switch to less common—but sometimes more efficient—languages can be a powerful advantage.

For our highlights this week, we chose recent articles that cover a lot of ground: they focus on a wide range of languages, projects, and workflows. These …

architectures benefits clear coding data data science data scientists data teams julia language languages platforms polyglot programming programming languages projects python science scientists sql tds-features the-variable towards-data-science work