The new stack of talktorials showcases data acquisition from additional CADD-relevant databases, adds many examples for structure-based tasks, and extends the cheminformatics side with straightforward DL applications (see Figure , T011-T022). Our example use case is the EGFR kinase but the talktorials are easily adaptable to other targets as long as sufficient data is available. Besides the domain-specific resources described below, we rely in all talktorials on established Python packages for data science and data visualization such as NumPy , pandas , scikit-learn , matplotlib , and seaborn .