Creating and Managing Data Science Pipelines with LineaPy

LineaPy is a powerful open-source library that streamlines the process of creating data pipelines. By tracing the execution of a Python program, LineaPy creates a semantic graph representation that captures the meaning of the program. This representation can then be transformed into a workflow representation in orchestration systems, allowing for easy productionization of data science models.

One of the key advantages of LineaPy is its ability to automatically clean up and refactor data science code, eliminating bugs or irrelevant code and accelerating time to value. This makes it easier for data practitioners to create reusable components that can be discovered and incorporated into other workflows like building blocks, serving the team instead of acting as ad hoc support.

With LineaPy, practitioners can also trace the code that generates results, prioritize high-demand pipelines, see dependencies, and deprecate unused pipelines while alerting downstream consumers, providing more robust data engineering support.

Learn More
------------------
LineaPy: https://lineapy.org/
Intro to API Basics: https://tinyurl.com/2rkyeuz2
Clean Messy Notebooks: https://tinyurl.com/5n7pym2a

Get Involved
--------------------
Sign up for our next event: https://www.meetup.com/portland-pytho...
Check out our website: https://www.pythonpirates.org