📝 Update README, sync with FastAPI docs

README.md

@@ -27,23 +27,23 @@ Generate a backend and frontend stack using Python, including interactive API do
 
 * Full **Docker** integration (Docker based).
 * Docker Swarm Mode deployment.
-* **Docker Compose** integration and optimization for local development
+* **Docker Compose** integration and optimization for local development.
 * **Production ready** Python web server using Uvicorn and Gunicorn.
-* Python **[FastAPI](https://github.com/tiangolo/fastapi)** backend:
+* Python <a href="https://github.com/tiangolo/fastapi" class="external-link" target="_blank">**FastAPI**</a> backend:
     * **Fast**: Very high performance, on par with **NodeJS** and **Go** (thanks to Starlette and Pydantic).
     * **Intuitive**: Great editor support. <abbr title="also known as auto-complete, autocompletion, IntelliSense">Completion</abbr> everywhere. Less time debugging.
     * **Easy**: Designed to be easy to use and learn. Less time reading docs.
     * **Short**: Minimize code duplication. Multiple features from each parameter declaration.
     * **Robust**: Get production-ready code. With automatic interactive documentation.
-    * **Standards-based**: Based on (and fully compatible with) the open standards for APIs: <a href="https://github.com/OAI/OpenAPI-Specification" target="_blank">OpenAPI</a> and <a href="http://json-schema.org/" target="_blank">JSON Schema</a>.
-    * [**Many other features**](https://github.com/tiangolo/fastapi) including automatic validation, serialization, interactive documentation, authentication with OAuth2 JWT tokens, etc.
+    * **Standards-based**: Based on (and fully compatible with) the open standards for APIs: <a href="https://github.com/OAI/OpenAPI-Specification" class="external-link" target="_blank">OpenAPI</a> and <a href="http://json-schema.org/" class="external-link" target="_blank">JSON Schema</a>.
+    * <a href="https://fastapi.tiangolo.com/features/" class="external-link" target="_blank">**Many other features**</a> including automatic validation, serialization, interactive documentation, authentication with OAuth2 JWT tokens, etc.
 * **Secure password** hashing by default.
 * **JWT token** authentication.
 * **SQLAlchemy** models (independent of Flask extensions, so they can be used with Celery workers directly).
 * Basic starting models for users (modify and remove as you need).
 * **Alembic** migrations.
 * **CORS** (Cross Origin Resource Sharing).
-* **Celery** worker that can import and use models and code from the rest of the backend selectively (you don't have to install the complete app in each worker).
+* **Celery** worker that can import and use models and code from the rest of the backend selectively.
 * REST backend tests based on **Pytest**, integrated with Docker, so you can test the full API interaction, independent on the database. As it runs in Docker, it can build a new data store from scratch each time (so you can use ElasticSearch, MongoDB, CouchDB, or whatever you want, and just test that the API works).
 * Easy Python integration with **Jupyter Kernels** for remote or in-Docker development with extensions like Atom Hydrogen or Visual Studio Code Jupyter.
 * **Vue** frontend: