Real Python Podcast Ep43 - Deep Reinforcement Learning in a Notebook With Jupylet + Games and Synths

What’s it like to design a Python library for three different audiences? This week on the show, we have Nir Aides, creator of Jupylet. His new library is designed for researchers in deep reinforcement learning, musicians interested in live music coding, and kids interested in learning to program. Everything is designed to run inside of a Jupyter notebook. Nir’s initial goal was to create a framework to study deep reinforcement learning, and this led to building a framework for 2D and 3D games and graphics
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