So, want to learn Part-API for machine learning
So, this series is for you. Hello guys, I'm Rajinder from TechSingh Platform
In this series, you learn how to make machine learning model, build a Part-API from scratch
and then deploying it on your machine. There will be also bonus video in which we will see how the API interacts with the application
and improves your mobile application. So, let us see some advantages of using Part-API
So, back in the days, people used to use Splat and Django for deploying their machine learning models
The major disadvantage of using this framework was a bit slow, as it uses something known as WSGI
It is nothing but Red Server, Green Frame Interface. And Part-API uses our Syncretic Server, Green Frame Interface, which is ASG5
As you can see, WSGI is Syncretic Method and ASGI is asynchronous method
If you know JavaScript, you might have heard of asynchronous method and synchronous method
Basically, what the synchronous method do is, deploy the whole code and then a specific block is basically created
Whereas, our synchronous method writes that code in the background thread, which makes it very efficient
Now, let us see some advantages of Part-API. So, as you can see, Part-API is modern, fast, and high-performance web framework
The reason why it is fast is because it uses something known as ASGI, which we have already discussed
It requires Python 3.6 or above. It is very fast and one of the fastest Python frameworks available in the market
It has very good documentation and it also uses something known as Battle UI, which we will see in upcoming videos
I hope you have loved this playlist and see you all in the next video. Bye-bye
Part-API is a free and open source project developed by the University of Michigan
It is designed to help you build a web-based application for your business