May 1
Loading video player...
In this video, we cover FastAPI Day 3 and Docker Day 1, where we deeply understand API development, deployment concepts, and containerization. We go step-by-step from basic concepts like server-client architecture, HTTP protocols, API design, FastAPI implementation, and finally Docker fundamentals used in real-world production systems. This is extremely useful for: Backend development GenAI deployment Interviews Production system design š Reference GitHub Repo https://github.com/switch2ai š§ Deployment Develop application locally Deploy application on server Server Machine where application is running Client User or system interacting with server š HTTP and HTTPS HTTP Hypertext Transfer Protocol HTTPS Secure version Protocol Set of rules for communication HTTP and HTTPS Used for communication between client and server š API Application Programming Interface Layer in front of application Used for Communication between different languages Managing security and authentication āļø Virtual Environment Used to maintain dependencies Create Environment python -m venv env_name Activate Environment Windows env_name\Scripts\activate Linux source env_name/bin/activate Save Dependencies pip freeze requirements.txt Install Dependencies pip install -r requirements.txt š FastAPI FastAPI is a framework to build API in Python Required Installation fastapi uvicorn Role of Tools fastapi Framework to build API uvicorn Server to run API Manages communication FastAPI runs on uvicorn āļø First API Concepts FastAPI instance Creates application Decorator Wraps function into API HTTP method Defines request type Path Endpoint of API ā¶ļø Run API Application runs using uvicorn main refers to file name app refers to FastAPI instance Reload is used during development Not used in production š URL Structure http://127.0.0.1:8000 Host 127.0.0.1 Localhost Port 8000 Default port Path Endpoint name š Swagger UI Accessible at /docs Used to test APIs š HTTP Methods GET Fetch data POST Send data PUT Update data DELETE Delete data š Parameters Path Parameter Part of URL Mandatory Query Parameter Added after question mark Optional Used for filtering and sorting š§ Type Hinting Defines expected data types Example a should be integer b should be integer Return should be integer š Type Validation Used to validate input data Python does not enforce strict types Pydantic is used for validation ā ļø Important Rule Data should not be sent using GET method āļø API Functionalities Covered Fetch data Add data Delete data Update data š§ Development vs Production Notebook Used for experimentation Python script Used for production š Deployment Challenges "It works on my machine" problem Issues Dependencies mismatch Python version difference Operating system difference š³ Docker Docker is a containerization platform Container Includes Code Dependencies Python version Operating system āļø Docker Concepts Docker File Step-by-step instructions to run application Docker Image Application built using Dockerfile Docker Container Running application š Real World Example Blueprint Manufacturing process Driving car š Docker Workflow Docker File Build image Run container š Why Docker Same environment everywhere No dependency issues Easy deployment Production ready š Key Takeaways FastAPI is used to build APIs HTTP enables communication Pydantic ensures validation Deployment requires consistency Docker solves environment problems š„ Hashtags #FastAPI #Docker #API #Deployment #GenAI #Backend #Python #MachineLearning #SystemDesign #Switch2AI š SEO Tags fastapi tutorial fastapi day 3 docker basics tutorial api development python fastapi deployment docker for beginners backend development fastapi http https explained pydantic validation fastapi docker container explained š SEO Tags (500 char) fastapi tutorial,fastapi day 3,docker basics tutorial,api development python,fastapi deployment,docker for beginners,backend development fastapi,http https explained,pydantic validation fastapi,docker container explained,fastapi backend project,docker for ai deployment,Switch 2 AI