Scaling Python with Dask webinar
This looks to be an interesting webinar on Dask
https://know.anaconda.com/Scaling-Python-Dask-Webinar.html Wednesday, May 30th at 2:00PM CDT.
Dask is a flexible parallel computing library for analytic computing.
Dask is composed of two components:
- Dynamic task scheduling optimized for computation. This is similar to Airflow, Luigi, Celery, or Make, but optimized for interactive computational workloads.
- “Big Data” collections like parallel arrays, dataframes, and lists that extend common interfaces like NumPy, Pandas, or Python iterators to larger-than-memory or distributed environments. These parallel collections run on top of the dynamic task schedulers.