This lecture covers the tools eFEL and BluePyOpt for optimizing neuron models with experimental data. eFEL is a library to analyze voltage traces from single cells, providing a standardized way to calculate features like firing rate and action potential shape. BluePyOpt is a Python library that uses an evolutionary algorithm to find model parameters matching experimental data. It includes examples of single compartment and neocortical layer 5 pyramidal cell models.