![]() ![]() Let’s try a few simple Dask functions example - but first, we need to install the Dask package (Anaconda has it by default). Instead, we would focus on the Dask data frame object. In simpler terms, Dask offers a data frame or array object like you could find in Pandas, but it is processed in parallel for faster execution time, and it offers a task scheduler.Īs this article only cover the alternative for Pandas, we would not test the Task Scheduling functionality. ![]() Parallel data frame like Numpy arrays or Pandas data frame object - specific for parallel processing. Similar to Airflow, it is used to optimized the computation process by automatically executing tasks. There are two main parts in Dask, there are: Dask is a Python package for parallel computing in Python.
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