[MULTI] Fastapi Mastery : Build Modern Apis With Python

[jinkping5]

Fastapi Mastery : Build Modern Apis With Python
Published 6/2025
Created by SudoPath Lab
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 29 Lectures ( 2h 47m ) | Size: 1.1 GB​

Learn FastAPI from scratch: async APIs, WebSockets, JWT auth, background tasks, AI, testing & real-world projects
What you'll learn
Build high-performance RESTful APIs using FastAPI
Create real-time applications using WebSockets
Handle asynchronous programming and background tasks
Secure APIs with JWT authentication
Test FastAPI endpoints and WebSockets
Deploy FastAPI apps with Uvicorn and Gunicorn
Integrate AI features into your FastAPI apps
Requirements
Basic Python knowledge is helpful but not required.
No prior FastAPI or web framework experience required
A Laptop or PC
Description
Unlock the full power of modern backend development with FastAPI - one of the fastest and most efficient Python web frameworks available today. Whether you're a Python developer, switching from Flask or Django, or completely new to APIs, this course will guide you step-by-step through the world of building production-ready, async-powered web applications.You'll learn everything from HTTP basics and RESTful routing to advanced concepts like WebSockets, background tasks, dependency injection, and even lightweight AI integration for real-world use cases. And as we progress, you'll build projects along the way - helping you cement concepts with hands-on experience and reusable patterns.You'll also gain confidence in testing your applications with Pytest and deploying them using Uvicorn and Gunicorn, preparing you to launch your apps in real-world environments.By the end of this course, you won't just understand FastAPI - you'll master it.What You'll Learn:Build modern, high-performance RESTful APIs using FastAPIUnderstand and implement async programming in PythonCreate real-time applications using WebSocketsOffload workloads using background tasksAdd secure JWT-based authenticationValidate and serialize data using Pydantic modelsWrite automated unit tests using Pytest Mock external APIs and test robustlyDeploy FastAPI apps using Uvicorn, Gunicorn, and DockerIntegrate lightweight AI features without high-end hardware
Who this course is for
Python developers who want to build modern, production-ready APIs
Developers looking to switch from Flask or Django to FastAPI
Anyone who wants to build plug-and-play API systems with minimal setup
Homepage

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[0dayddl]

FastAPI Mastery : Build Modern APIs with Python
Published 6/2025
Duration: 2h 48m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 1.08 GB
Genre: eLearning | Language: English​

Bitte Anmelden oder Registrieren um Links zu sehen.

Learn FastAPI from scratch: async APIs, WebSockets, JWT auth, background tasks, AI, testing & real-world projects

What you'll learn
- Build high-performance RESTful APIs using FastAPI
- Create real-time applications using WebSockets
- Handle asynchronous programming and background tasks
- Secure APIs with JWT authentication
- Test FastAPI endpoints and WebSockets
- Deploy FastAPI apps with Uvicorn and Gunicorn
- Integrate AI features into your FastAPI apps

Requirements
- Basic Python knowledge is helpful but not required.
- No prior FastAPI or web framework experience required
- A Laptop or PC

Description
Unlock the full power of modern backend development withFastAPI- one of the fastest and most efficient Python web frameworks available today. Whether you're a Python developer, switching from Flask or Django, or completely new to APIs, this course will guide you step-by-step through the world of buildingproduction-ready, async-powered web applications.

You'll learn everything fromHTTP basicsandRESTful routingto advanced concepts likeWebSockets,background tasks,dependency injection, and evenlightweight AI integrationfor real-world use cases. And as we progress,you'll build projects along the way- helping you cement concepts with hands-on experience and reusable patterns.

You'll also gain confidence intesting your applicationswith Pytest and deploying them usingUvicorn and Gunicorn, preparing you to launch your apps in real-world environments.

By the end of this course, you won't just understand FastAPI - you'll master it.What You'll Learn:

Build modern, high-performance RESTful APIs using FastAPI

Understand and implement async programming in Python

Create real-time applications using WebSockets

Offload workloads using background tasks

Add secure JWT-based authentication

Validate and serialize data using Pydantic models

Write automated unit tests using Pytest

Mock external APIs and test robustly

Deploy FastAPI apps using Uvicorn, Gunicorn, and Docker

Integrate lightweight AI features without high-end hardware

Who this course is for:
- Python developers who want to build modern, production-ready APIs
- Developers looking to switch from Flask or Django to FastAPI
- Anyone who wants to build plug-and-play API systems with minimal setup

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[0dayddl]

1.08 GB | 17min 21s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English​

Files Included :

Spoiler

1 -Python Basics.mp4 (41.48 MB)
2 -API Basics.mp4 (21.04 MB)
3 -HTTP Basics.mp4 (17.12 MB)
4 -Tools.mp4 (12.05 MB)
1 -FastAPI Theory.mp4 (19.89 MB)
2 -Installing FastAPI and Uvicorn.mp4 (21.43 MB)
3 -Basic HTTP Endpoints.mp4 (90.73 MB)
4 -Async with Databases.mp4 (72.64 MB)
5 -Handling Background Tasks.mp4 (41.43 MB)
1 -Overview of Async Programming.mp4 (43.08 MB)
2 -Async in FastAPI.mp4 (16.46 MB)
3 -Async with External APIs.mp4 (71.86 MB)
1 -Introduction to WebSockets.mp4 (7.5 MB)
2 -Setting Up WebSocket Endpoints.mp4 (33.75 MB)
3 -Multiple Connections.mp4 (23.52 MB)
4 -Chat Application using Websocket.mp4 (59.51 MB)
1 -Authentication and Authorization.mp4 (113.63 MB)
2 -Data Validation and Error Handling.mp4 (59.33 MB)
1 -Pre-Trained AI Models with FastAPI.mp4 (64.64 MB)
2 -Hosted AI with FastAPI.mp4 (52.91 MB)
1 -Testing FastAPI with pytest.mp4 (128.21 MB)
2 -Deploying FastAPI App to Server.mp4 (96.54 MB)

]
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