Introduction To FastAPI- How To Create API's Using FastAPI- Data Science
Vložit
- čas přidán 17. 11. 2020
- github: github.com/krishnaik06/FastAPI
FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.Sebastian is the creator of FastAPI, an open-source Python web framework for building production-ready APIs quickly and easily: with autocompletion everywhere in your editor, automatic type checks, as little code as possible, automatic API documentation, and several other features.
⭐ Kite is a free AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates with all the top editors and IDEs to give you smart completions and documentation while you’re typing. I've been using Kite for a few months and I love it! www.kite.com/get-kite/?...
All Playlist In My channel
FASTAPI playlist: • FastAPI Deployment Tut...
Interview Playlist: • Machine Learning Inter...
Complete DL Playlist: • Complete Road Map To P...
Julia Playlist: • Tutorial 1- Introducti...
Complete ML Playlist : • Complete Machine Learn...
Complete NLP Playlist: • Natural Language Proce...
Docker End To End Implementation: • Docker End to End Impl...
Live stream Playlist: • Pytorch
Machine Learning Pipelines: • Docker End to End Impl...
Pytorch Playlist: • Pytorch
Feature Engineering : • Feature Engineering
Live Projects : • Live Projects
Kaggle competition : • Kaggle Competitions
Mongodb with Python : • MongoDb with Python
MySQL With Python : • MYSQL Database With Py...
Deployment Architectures: • Deployment Architectur...
Amazon sagemaker : • Amazon SageMaker
Please donate if you want to support the channel through GPay UPID,
Gpay: krishnaik06@okicici
Telegram link: t.me/joinchat/N77M7xRvYUd403D...
Please join as a member in my channel to get additional benefits like materials in Data Science, live streaming for Members and many more
/ @krishnaik06
Please do subscribe my other channel too
/ @krishnaikhindi
Connect with me here:
Twitter: / krishnaik06
Facebook: / krishnaik06
instagram: / krishnaik06
#FASTAPI
Finally wait is over for api topic.
Wsgi handles requests syncronously in api management and best asynchronous api management is express is . I'm literally delighted to see this feature in fast api
Thank you so much! About to migrate my whole codebase from flask to fastapi!
thank you so much sir for these videos ...u are decoding the black box that was deployment & making ppl confident in end to end proj delivery ...u have made it very simple & easy to understand ...
Great video sir! Point break explanation.
Looking forward to more FastAPI videos
Hello sir can you do a playlist on Flask and Django? It will help us in both Data Science and Web development. Please do playlist on Django and Flask too. Your teaching is the best and will help us understand better.
Sir I have a doubt if I want to be a good ML Engineer then good programming, SQL, ML concepts with math knowledge and how to do deployment is enough or core subjects of computer science are also required?
@Krish naik sir can do a video on how can we deploy and integrate with Django instead of Flask
Sir, that's amazing help. Thanks a lot !
Hi, I have used column transformer in my model so I have to pass dataframe of one row as a input to prediction, but I was not able to do that, so my question is how to pass one row of dataframe instead of list of list? @Krishnaik and others? help me if you know thanks
Hello sir, your videos are amazing.sir can you make video on ML model to predict best career option for a person
make video for deep learning deployment in aws
how fast api handles multiple requests, as we have threading as a parameter in flask to handle multiple request how does fast api do it?
looking forward...
Thank you for this video
Are there any keras tutorials by you
awesome video sir
Sir Now django support both asgi and wsgi right?
Thanku so much sir I came across this today
How does it handle cors?
Great video! If I'm not wrong, the /docs page with UI basically does a similar job as postman right?
Yes
@@krishnaik06 Thanks a lot for the clarification :D
It's OPENAPI(formerly known as Swagger) API standards documentation, which is natively supported into fastapi. If you had to do the same for flask, you need to explicitly write a lot of code.
how to get the local host and port of our device?
Sir my uvicorn is not recognised as internal and external command
Very Useful
Sir how to add Html page that is integrate front end?
No words sir❤
how to choose port no. and host?
Asynchronous means giving inputs to multiple points sequentially. Synchronous means giving input to multiple points at the same time.
Ulta bole aap
Hello
Can you make a video about TensorFlow extended for deployment
deployment in what, TensorFlow in AWS, docker. because i also want to deploy my TensorFlow model trained in Sagemaker to be hosted in sagemaker using endpoint. lambda and AWS gateway
I am not able buy your paid plan thru Credit and Debit card, i have checked with both. Do you have any other payment method ?
Join the membership using gpay...search in the youtube how to do.it
anyone please tell me can we use this in jupyter
I am getting error while running uvicorn main:app --reload. Error is "'uvicorn' is not recognized as an internal or external command, operable program or batch file". Please help
You need to run the command in the Anaconda Command prompt and not directly in the IDE
but u didnt show what is there in app.py
IOT Playlist
Nice sir .Sir mene engineering start kiya tha 2009.i completed my engineering in 2020. mene 11 years me complete kiya engineering .My aggriacate is 52 percentage .I am fresher .I don't have work experience .log kahate he ki muze job nahi milenga kyu ki 11 years me pura kiya 4 years ki degree engineering .sir data science course kiya ya data analyst ka muze interview ke liye bhi calls nahi milenge small scale companies me .guide kiyije sir plz
Bro your marriage live coverage will be on CZcams ? Eager to see it.
do not change accent in between. ;)
S
Using 'FASTAPI' in Google colab is comparatively easy:
#step 1: import
!pip install colabcode -q
!pip install fastapi -q
from colabcode import ColabCode
from fastapi import FastAPI
cc = ColabCode(port=12000, code=False)
app = FastAPI() #step2: instance
@app.get('/') #step4: Decorate
def index():
return 'Hello World' #step3: function
cc.run_app(app=app)
# Once it is executed and we get the .io URL, just add '/docs' at the end of the URL i.e. XYZ.io/docs