» Python: Build a REST API with Flask » 3. Deployment » 3.4 Summary

Summary

This project provides a comprehensive guide on building a RESTful API using the Flask web framework in Python.

Flask

In the introduction step, you are guided on setting up the development environment and defining the objectives of the project.

The development step is broken down into various sub-sections, covering the creation of an initial version of the API, implementation of health endpoints, defining data models, setting up routes, implementing a 4-layer architecture, configuring databases such as MySQL and MongoDB, incorporating caching using Redis, implementing pagination and search functionality, and finally adding authentication mechanisms.

Finally, the deployment step covers various deployment options, including running with a WSGI server: Gunicorn, setting up a reverse proxy with Nginx, and deploying the application using Docker and Docker Compose.

Overall, this project tutorial offers a structured approach to building a robust RESTful API using Flask, covering essential aspects from development to deployment.

Gunicorn

Congratulations🎉! You've made a great RESTful API server in Python now.

Complete code: https://github.com/Literank/lr_rest_books_py

Keep Going! Keep Learning!

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