Scaling your Python interactive applications with Jupyter | SciPy Japan 2019 | Luciano Resende

Jupyter Notebooks have become the “de facto“ platform used by scientists and engineers to build Python interactive applications to tackle scientific and machine learning problems. However, with the popularity of big data analytics and complex deep learning workloads, there is a growing requirement to extend the computation across a cluster of computers in a parallel fashion. In this talk, we will describe how to use multiple Jupyter Notebook components to enable the orchestration and distribution of interac