Flask Data Tables - Inline Edit / Docker / Flask-RestX API

📰 Dev.to · Sm0ke

Learn to build a Flask app with inline editing, paginated data tables, and Docker support using Flask-RestX API

intermediate Published 7 Feb 2022
Action Steps
  1. Build a Flask app with paginated data tables using Simple-DataTables
  2. Implement inline edit functionality for data tables
  3. Configure Docker support for the Flask app
  4. Create a RESTful API using Flask-RestX for data interaction
  5. Test the app with toasts notifications for user feedback
Who Needs to Know This

Backend developers and full-stack engineers can benefit from this tutorial to improve their skills in building data-driven Flask applications with Docker support. This can be useful for teams working on data-intensive projects that require efficient data management and deployment.

Key Insight

💡 Using Simple-DataTables and Flask-RestX API can simplify the process of building data-driven Flask applications with efficient data management and deployment.

Share This
🚀 Build a Flask app with inline editing, paginated data tables & Docker support! 💻

Key Takeaways

Learn to build a Flask app with inline editing, paginated data tables, and Docker support using Flask-RestX API

Full Article

The project implements paginated access to data using Simple-DataTables, inline edit, toasts notifications and Docker Support.
Read full article → ← Back to Reads