Interview with Richard at Coiled.io on how we can make data science with Python go faster. I give an update on the state of Python virtual machines (so many!), profiling options (line_profiler, viztracer, memory_profiler, ipython_memory_usage), compilation (numba), vectorisations, faster pandas ideas (including bottleneck & numexpr) and then scaling with Dask/Vaex/Polars. More details are often shared on my newsletter https://buttondown.email/NotANumber and all my past public talks are on my blog: https://ianozsvald.com/about-me/