Explore a Python-based bioinformatics pipeline designed to reveal tumor heterogeneity in this 28-minute EuroPython Conference talk. Discover how single-cell DNA sequencing technology is revolutionizing cancer research by providing insights into genomic aberrations and intra-tumor diversity. Learn about the pipeline's use of statistical modeling and MCMC algorithms to infer the evolutionary history of copy number alterations in tumors. Gain understanding of how this reproducible and scalable pipeline, built with Python, Conda, and Snakemake, processes raw sequencing data to produce informative reports and figures crucial for personalized cancer treatment decisions.