Introduction to tools in Python and R for parallel programming. We'll focus on Python's Dask package and R's future package for easily parallelizing independent computations (e.g., simulations or parameter sweeps). We'll also cover splitting up large datasets across multiple machines using Dask, and we may cover a bit of Python's Ray package.