Learning to Fly (L2F) is an open-source project designed to train end-to-end control policies using deep reinforcement learning, capable of completing training quickly on consumer-grade laptops. The project's main advantages include fast training speed, achievable within seconds, and robust generalization capabilities that allow trained policies to be directly deployed to real quadcopters. The L2F project relies on the RLtools deep reinforcement learning library and provides comprehensive installation and deployment guides, enabling researchers and developers to quickly get started and experiment.