The Chain of Command (or Pipeline) design pattern is a flexible way to handle a sequence of actions, where each handler in the chain processes the input data

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The post explains the Chain of Command (or Pipeline) pattern, showcasing a Python-based implementation for extracting and processing HTML table data. Using functional programming concepts such as functools.reduce and partial, along with the BeautifulSoup library, the pipeline reads HTML content, parses tables, and converts it into a pandas DataFrame with appropriate data types. The implementation emphasizes flexibility, error handling, and maintainability.

A Practical Example of the Pipeline Pattern in Python

Cool stuff. I only recently learned about the pattern and I loved it. It’s so simple, yet powerful.
If anyone is interested, I created this library to work with the pipeline pattern:
<a href="https://github.com/thecodecrate/python-pipeline" target="_blank" rel="noopener nofollow">https://github.com/thecodecrate/python-pipeline</a>
I also created this “middleware processor” for the pipeline library:
<a href="https://github.com/thecodecrate/python-middlewareable" target="_blank" rel="noopener nofollow">https://github.com/thecodecrate/python-middlewareable</a>