In this talk, Alex and Brent describe how Python not only meets these challenges but also drives innovation through the development of novel bioinformatics tools like CITEgeist. Biological datasets often face challenges of high sparsity and noise. CITEgeist harnesses Python’s robust ecosystem to provide an efficient, scalable pipeline that deconvolutes messy spatial signals into actionable, clinically relevant features.