A BRIEF INTRODUCTION ABOUT FAST API
What is API?
There are 4 types
of API:
- Open API
- Partner API
- Internal API
- Composite API
We need
Python 3.6 or a new version for installing FastAPI.
Pip install
fastapi
Pip install
Fastapi[all]
Pip install uvicorn[all]
Features of
the FastAPI:
The features
of FastAPI are:
- Fast: Extremely fast, comparable to NodeJS
and Go (thanks to Starlette and Pydantic). One of the quickest Python
frameworks on the market.
- Fast to
code: Increase the
speed of feature development by 200 to 300 percent.
- fewer
bugs: Reduce human
(developer) mistakes by roughly 40%.
- Intuitive: Excellent editing assistance.
Everywhere there is completion. Debugging takes less time.
- Easy: Created to be simple to use and
learn. Spend less time reading documents.
- Short: Reduce code duplication. Each
parameter declaration has many characteristics. There are fewer bugs.
- Robust: Get production-ready code.
With interactive documentation generated automatically.
- Standards-based: Based on(and fully compatible with)
the open standards for APIs: OpenAPI (previously known as swagger) and JSON Schema.
- Performance: In performance, FastAPI is the
leader when compared to others because it is speed-oriented.
FastAPI was
built with three primary concerns in mind:
- Speed
- Open Standards
- Developer Experience
FastAPI is a
crucial element that brings starlette, pydantic, OpenAPI, and JSON Schema
together.
Advantages
and disadvantages of FastAPI:
Advantages
of API:
- Even in highly nested JSON queries, Fast API checks the developer's data type.
- Fast API is based on industry standards such as JSON Schema (a tool for evaluating the format of JSON data), OAuth 2.0 (an industry-standard authorization mechanism), and OpenAPI (which is a publicly available application programming interface)
- With the graphene-python Python package, FastAPI makes it simple to create a GraphQL API.
Disadvantages
of FastAPI:
- Because FastAPI is still in its early stages, the community is limited in comparison to other frameworks, and despite its extensive documentation, there are few external teaching tools.
Most popular
web frameworks among developers worldwide 2021:
Comparison
of FastAPI and Flask.
- FastAPI is widely regarded as the most efficient Python web framework. In every circumstance, it outperforms Flask by a factor of 100.
- FastAPI is also a superior alternative because of its auto-scaling capability. Flask is designed for WSGI services such as Gunicorn, hence it lacks native async capabilities. For auto-scaling, you'll need to count queued and in-flight requests asynchronously.
- FastAPI gives us a powerful dependency injection system, which means we can have an endless number of plug-ins. Your API will be compliant with OpenAPI, JSON Schema, and OAuth2.0 when you use FastAPI, which will be handled by FastAPI.
- Machine learning concepts
- Tensorflow or Pytorch — an end-to-end opensource platform for ML and DL Tensorflow or Pytorch — an end-to-end platform for ML and DL
- Flask — To create an ML model, we often wrap it in a REST API (typically flask) and deliver it as a microservice.
Who uses FastAPI:
Top
companies using FastAPI:
- Uber
- Netflix
- Microsoft amongst many other corporations are using the FastAPI library
FastAPI use
cases:
If you're
concerned about speed, this API is ideal. Netflix uses it to deal with internal
crises. It also scales beautifully when it comes to deploying production-ready
machine learning models, as ML models operate best in production when wrapped
in a REST API and provided as a microservice.
Conclusion:
A framework
is a collection of packages and modules used to develop software and help
developers avoid handling low-level details. When learning Python, we will come
across Python frameworks used to work with Python efficiently. FastAPI is best
for creating FrameWorks.
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