Computational Doing.

Catalog description

This course offers a chance to learn about some of the most foundational computational tools for data scientists: from the common shell commands to interact with local and remote systems, to the profilers that help inspect and optimize performant Python code. Too often, data scientists are expected to learn many of these computational nuts and bolts on their own, creating unexpected barriers to entry, shibboleths, and missed opportunities that these simple yet powerful tools can help unlock. Students will be able to avoid many of these pitfalls and extract even more value from courses that involve more specialized tools.