We published our first pure software paper in the Journal of Open Source Science. In this paper, we describe our Python package py-pde, which helps with solving partial differential equations (PDEs). Using py-pde, users can define PDEs in jupyter notebooks and solve them efficiently without detailed knowledge of the underlying implementation. The code is flexible enough for rapid testing and inspecting of PDEs, while it is also fast since it uses just-in-time compilation. To start using the package, read the documentation, or simply browse the gallery of examples. With this package, researches and students can explore the behavior of PDEs and delve into the fascinating world of dynamical systems.