{"id":21423435,"url":"https://github.com/nafisalawalidris/fastapi-learning","last_synced_at":"2026-02-19T10:04:52.777Z","repository":{"id":252544895,"uuid":"840744936","full_name":"nafisalawalidris/FastAPI-learning","owner":"nafisalawalidris","description":"This repository documents my exploration of FastAPI a modern Python framework for building APIs. It includes my progress, practical implementations and insights as I learn to create high-performance APIs. 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This repo will serve as a portfolio of my learning process and practical implementations.\n\n![alt text](\u003cFastAPI.png\u003e)\n\n## Table of Contents\n\n- Introduction\n- Why FastAPI?\n- Learning Objectives\n- Setup and Installation\n  - Creating a Virtual Environment\n  - Installing Dependencies\n  - Running a Basic FastAPI Application\n- Project Structure\n- Learning Progress\n  - Setting Up a Virtual Environment\n  - Basic FastAPI Application\n  - API Endpoints and CRUD Operations\n  - Database Integration\n  - Authentication and Authorisation\n  - Testing and Debugging\n  - Deploying FastAPI Applications\n- Projects\n- Resources\n- Contributing\n- License\n\n## Introduction\n\nThis repository is dedicated to documenting my journey as I learn and master FastAPI a powerful and efficient web framework for building APIs in Python.\n\n## Why FastAPI?\n\nFastAPI is known for its speed, ease of use and modern features like asynchronous programming and automatic validation. It’s an excellent tool for building high-performance APIs and it complements my background in data science by enabling me to create robust scalable APIs for data-driven applications.\n\n## Learning Objectives\n\n- Understand the basics of FastAPI and its core features.\n- Build RESTful APIs with CRUD functionality.\n- Integrate databases and manage data with FastAPI.\n- Implement authentication and authorisation mechanisms.\n- Deploy FastAPI applications to production.\n- Explore advanced features like background tasks, WebSockets and more.\n\n## Setup and Installation\n\nSteps for setting up FastAPI:\n\n1. Create a virtual environment.\n2. Install the necessary dependencies.\n3. Run a basic FastAPI application.\n\n## Project Structure\n\nAn example of how the project might be structured including folders for application code, tests and environment settings.\n\n## Learning Progress\n\nThis section documents the steps in my learning journey:\n\n- Setting up a virtual environment.\n- Creating a basic FastAPI application.\n- Building API endpoints and implementing CRUD operations.\n- Integrating a database.\n- Implementing authentication and authorisation.\n- Testing and debugging.\n- Deploying applications to production.\n\n## Resources\n\nLinks to useful documentation and guides including:\n\n- FastAPI Documentation https://fastapi.tiangolo.com/\n- Python Official Documentation https://docs.python.org/3/\n- SQLAlchemy Documentation https://docs.sqlalchemy.org/en/20/\n- Uvicorn Documentation https://www.uvicorn.org/\n\n## Contributing\n\nSuggestions and improvements are welcome. Feel free to open an issue or submit a pull request.\n\n## License\n\nThis repository is licensed under the MIT License. See the LICENSE file for more details.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnafisalawalidris%2Ffastapi-learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnafisalawalidris%2Ffastapi-learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnafisalawalidris%2Ffastapi-learning/lists"}