From web scraping to AWS integration, these five Python libraries help data engineers at every skill level.

The New Stack is a publication covering trends and technologies in cloud-native development, DevOps, and software delivery. Developers can learn about containerization, Kubernetes, and cloud computing, as well as explore topics such as microservices architecture, serverless computing, and continuous integration/continuous delivery (CI/CD) pipelines.

The New Stack

Python is a powerful language for data engineering, enhanced by essential third-party libraries. For beginners, Beautiful Soup 4 and Requests are ideal for web scraping and sending HTTP requests. Intermediate users may benefit from Apache Airflow for workflow automation and Boto3 for integrating AWS services. Advanced users can leverage Pandas for comprehensive data manipulation and analysis.

5 Python Libraries Every Data Engineer Should Know

Libraries for Intermediate Data Engineers