Synchronous and asynchronous concepts are difficult to understand, and I think this lecture explains them very well. I can feel that a lot of preparation was done for the lecture.

digilog1q846240

We will develop a web app that collects data using concurrent/parallel programming in Python, loads it into MongoDB, analyzes it, and visualizes the collected data using FastAPI, a modern web framework. In the process, you will learn and understand Python concurrent/parallel programming using coroutines, multi-threading, and multi-processing, and understand how to use them to improve Python's performance. We will help you apply Python concurrent/parallel codes directly to your work. We will not only teach you how to develop and end, but also how to deploy and operate an actual app on the AWS cloud.

amamov

인프런 10주년! 사랑주간 전체 할인

Python Concurrent Programming: From Data Collection to Web Development (feat. FastAPI, async, await)

Q&A의 달인

소통왕

입문

초급

중급이상

파이썬

Python

concurrent

FastAPI

🔥 First Start

⛓ Python Coroutines and Asynchronous Functions

🛸 Python Multi-threading and Multi-processing

🛸 Data Collection with Concurrent Programming

📁 Building MongoDB: Core Technology for Big Data Management

🔮 Practical Project: "Collectors Bookbooki" (FastAPI)

🚀 Deploying Projects with AWS Cloud Computing (Appendix)