Parallel Programming with Dask in Python

Python is well-known for its ability to perform data analysis and data science. Data scientists consider the greatest limitation of Python to be the requirement that all data must fit into the available memory. Python can only run on one CPU. Data scientists ask, "How can I read and process large amounts of data?" How can I make the most of my computational processing resources? This course will introduce Dask, an Open-Source Parallel Computing Library that allows for analytical computing. With Dask, you can scale up your Python workflows to large datasets directly from your computer.