This lecture introduces the tools and libraries used in Python for data science and engineering. It covers basic concepts such as data processing, feature engineering, data visualization, modeling, and model evaluation. With this lecture, participants will better understand end-to-end data science and engineering with a real-world case study. About the Speaker: Boyan Angelov is a CTO and data strategist with a decade of experience in a variety of academic and business environments such as bioinf