Pipelined functions can be very powerful for memory efficient and readable code. These are functions where the output of the one feeds into the input of the next. Some example applications would be:

• a multi-stage web scraper across different but related data sources
• a machine learning pipeline with data extraction, transformation, and processing steps
• doing line-by line operations on big datasets

Using Python’s asyncio library for concurrent operations is fast and resource efficient, especially for IO-bound tasks.

This article will show you how to build your own pipelines that can run very efficiently, especially if you do a lot of…