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Getting Started with Fast API and Docker
Fast API is a web framework for building APIs with Python 3.6+ based on standard Python type hints. It is one of the fastest python frameworks available and very easy to learn and use.
pip install fastapi
pip install uvicorn%pip install fastapi
%pip install uvicornfrom fastapi importFastAPI
app=FastAPI()
@app.get("/")
async def greetings():
return "Helloo my viewer. Really proud of you!!"uvicorn myapp:app --reloadINFO: Uvicorn running on http://127.0.0.1:8000 (Press
CTRL+C to quit)
INFO: Started reloader process [28720]
INFO: Started server process [28722]
INFO: Waiting for application startup.
INFO: Application startup complete."Helloo my viewer. Really proud of you!!"To see the automatic interactive API documentation add '/docs' to your url i.e (http://127.0.0.1.8000/docs):
Docker is an open source platform for building ,deploying and managing containerized applications.
Docker file is a text document that contains all the commands a user could call on the command line to assemble an image
Docker image is a read-only, inert template that comes with instructions for deploying containers.
Docker container is a virtualized runtime environment that provides isolation capabilities for separating the execution of applications from the underpinning system.
Docker file is a text document that contains all the commands a user could call on the command line to assemble an image
Docker image is a read-only, inert template that comes with instructions for deploying containers.
Docker container is a virtualized runtime environment that provides isolation capabilities for separating the execution of applications from the underpinning system.
In Python requirements.txt file is a type of file that usually stores information about all the libraries, modules and packages in itself that are used while developing a particular project.
pip freeze > requirements.txtcmd docker-python-appFROM python:3.6
COPY . /src
CMD ["python", "/src/index.py"]print("Hello Docker!!")$ docker build -t python-app$ docker run python-appHope this was useful, please feel free to leave your comments below.
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