Giorgos Myrianthous
@gmyrianthous
Staff AI/ML Engineer @withplum
ID: 191797691
https://thedatapipeline.substack.com/ 17-09-2010 11:31:08
362 Tweet
642 Followers
453 Following
Is it time to leave requirements.txt behind for Python project dependencies? Giorgos Myrianthous believes that's the case, and explains how to transition to Poetry as an open-source alternative. buff.ly/3ytGrKH
To get started with Poetry as your Python project dependencies and metadata management tool, follow along Giorgos Myrianthous's accessible and thorough guide. buff.ly/3ytGrKH
In his latest post, Giorgos Myrianthous shares a clear and concise argument in favor of using pathlib to represent paths in Python. buff.ly/4dwLzgp
Not sure which approach to choose when trying to represent paths in Python? Giorgos Myrianthous explains why you should avoid using strings, and turn to pathlib instead. buff.ly/4dwLzgp
Our August must-reads are here, covering practical approaches to AI agents, advanced SQL, and more — don't miss excellent contributions by Egor Howell, Giorgos Myrianthous, Yu Dong, @zoumana_keita_, Jiayan Yin, Ahmed Besbes, Mary Ara, and Stephanie Kirmer. buff.ly/3XqhYjh
Understanding Airflow’s data intervals is essential for building reliable workflows. By learning how start_date, logical dates, and templated variables work together, you can create pipelines that process data accurately and efficiently. Check out Giorgos Myrianthous's latest article
.Giorgos Myrianthous explores the importance of data intervals in Airflow and how they contribute to reliable, repeatable data pipelines. Learn how to leverage these intervals for more efficient scheduling and monitoring. towardsdatascience.com/airflow-data-i…