What are the best Python web frameworks for data science?

What are the best Python web frameworks for data science?

Some of the best Python web frameworks for data science include Flask, Django, and FastAPI. Flask is lightweight and great for small projects, while Django is more feature-rich and suitable for larger applications. FastAPI is known for its speed and ease of use with APIs.

Can you explain why Flask is preferred for small projects?

Flask is preferred for small projects because it is minimalistic and allows for quick development. It has a simple core and lets developers add only the components they need, making it flexible and easy to use.

What about Django? What makes it suitable for larger applications?

Django is suitable for larger applications due to its built-in features like an ORM, authentication, and an admin panel. It follows the 'batteries-included' philosophy, providing a lot of functionality out of the box, which helps in rapid development.

How does FastAPI compare to Flask and Django?

FastAPI is designed for building APIs quickly and efficiently. It offers automatic generation of OpenAPI documentation and is asynchronous, making it faster for handling requests compared to Flask and Django, which are synchronous by default.