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Warp 10 is a time series database with optional geo support written in Java. One of its key differencing factor is WarpScript, which not only is a query language, but is also a full-fledge programming language tailored to ease time series processing. In this presentation, we will explain how Python and WarpScript can interoperate efficiently, using bridges built between both the Python and Java ecosystems by libraries such as Py4J, Pyrolite and PySpark. We will see the benefits of doing so through examples and Jupyter notebooks.