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A collection of tips and tricks for setting up, configuring and deploying `dask.distributed` in Python projects. Most of topics covered focus on single tenant access pattern, where potentially multiple instances of the same application or a project submit tasks directly to Dask's scheduler.

Few useful tips how to configure Dask Scheduler with the aim of reducing the memory usage and its growth over time.