Python for Research Questions

Proficiency in Python or another primary research language for implementing experiments and prototypes. Topics include writing idiomatic and readable code, using scientific libraries such as NumPy, SciPy, pandas, and scikit learn, numerical considerations and vectorized operations, testing, reproducibility and experiment automation, packaging and dependency management, and performance debugging and profiling in a research workflow.