The Zen Of Airflow

Kevin Feasel


ETL, Python

Bas Harenslak shows how you can think of The Zen of Python as it applies to Apache Airflow:

Apache Airflow is a Python framework for programmatically creating workflows in DAGs, e.g. ETL processes, generating reports, and retraining models on a daily basis. This allows for concise and flexible scripts but can also be the downside of Airflow; since it’s Python code there are infinite ways to define your pipelines. The Zen of Python is a list of 19 Python design principles and in this blog post I point out some of these principles on four Airflow examples. This blog was written with Airflow 1.10.2.

My favorite of the Zen of Python principles is a combination of two: “simple is better than complex; complex is better than complicated.” That’s something I don’t always get right, but it is critical for a stable architecture.

Related Posts

Lasso and Ridge Regression in Python

Kristian Larsen shows off a few regression techniques using Python: Variables with a regression coefficient equal to zero after the shrinkage process are excluded from the model. Variables with non-zero regression coefficients variables are most strongly associated with the response variable. Therefore, when you conduct a regression model it can be helpful to do a […]

Read More

Sales Predictions with Pandas

Megan Quinn shows how you can use Pandas and linear regression to predict sales figures: Pandas is an open-source Python package that provides users with high-performing and flexible data structures. These structures are designed to make analyzing relational or labeled data both easy and intuitive. Pandas is one of the most popular and quintessential tools leveraged […]

Read More


February 2019
« Jan Mar »