https://github.com/nafisalawalidris/fastapi-learning

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. The repo covers setup, development and deployment of FastAPI applications and serves as a portfolio of my learning experience.
https://github.com/nafisalawalidris/fastapi-learning

api crud-api data-science database deployment fastapi python

Last synced: 3 months ago
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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. The repo covers setup, development and deployment of FastAPI applications and serves as a portfolio of my learning experience.

• Host: GitHub
• URL: https://github.com/nafisalawalidris/fastapi-learning
• Owner: nafisalawalidris
• Created: 2024-08-10T14:56:43.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-08-24T23:26:37.000Z (6 months ago)
• Last Synced: 2024-08-25T23:54:28.204Z (5 months ago)
• Topics: api, crud-api, data-science, database, deployment, fastapi, python
• Language: Python
• Homepage:
• Size: 102 KB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# FastAPI Learning Journey 

Welcome to my FastAPI learning journey, this repository documents my progress, projects and insights as I explore the FastAPI framework.

## Overview

As a Data Scientist with 3 years of experience, I am expanding my skill set to include FastAPI which is a modern web framework for building APIs with Python. This repo will serve as a portfolio of my learning process and practical implementations.

![alt text]()

## Table of Contents

- Introduction

- Why FastAPI?

- Learning Objectives

- Setup and Installation

  - Creating a Virtual Environment

  - Installing Dependencies

  - Running a Basic FastAPI Application

- Project Structure

- Learning Progress

  - Setting Up a Virtual Environment

  - Basic FastAPI Application

  - API Endpoints and CRUD Operations

  - Database Integration

  - Authentication and Authorisation

  - Testing and Debugging

  - Deploying FastAPI Applications

- Projects

- Resources

- Contributing

- License

## Introduction

This repository is dedicated to documenting my journey as I learn and master FastAPI a powerful and efficient web framework for building APIs in Python.

## Why FastAPI?

FastAPI 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.

## Learning Objectives

- Understand the basics of FastAPI and its core features.

- Build RESTful APIs with CRUD functionality.

- Integrate databases and manage data with FastAPI.

- Implement authentication and authorisation mechanisms.

- Deploy FastAPI applications to production.

- Explore advanced features like background tasks, WebSockets and more.

## Setup and Installation

Steps for setting up FastAPI:

1. Create a virtual environment.

2. Install the necessary dependencies.

3. Run a basic FastAPI application.

## Project Structure

An example of how the project might be structured including folders for application code, tests and environment settings.

## Learning Progress

This section documents the steps in my learning journey:

- Setting up a virtual environment.

- Creating a basic FastAPI application.

- Building API endpoints and implementing CRUD operations.

- Integrating a database.

- Implementing authentication and authorisation.

- Testing and debugging.

- Deploying applications to production.

## Resources

Links to useful documentation and guides including:

- FastAPI Documentation https://fastapi.tiangolo.com/

- Python Official Documentation https://docs.python.org/3/

- SQLAlchemy Documentation https://docs.sqlalchemy.org/en/20/

- Uvicorn Documentation https://www.uvicorn.org/

## Contributing

Suggestions and improvements are welcome. Feel free to open an issue or submit a pull request.

## License

This repository is licensed under the MIT License. See the LICENSE file for more details.