I can mention many reasons that FLASK is better than DJANGO but in some cases DJANGO is better than FLASK. I usually use FLASK for doing my tasks. What do you use?

#keynote #FLASK #DJANGO @epythonlab

#Flask is a customizable Python framework that gives developers complete control over how users access data. Flask is a "micro-framework" based on Werkzeug's WSGI toolkit and Jinja 2's templating engine. It is designed as a web framework for RESTful API development.

#keynote #Flask #framework @epythonlab

Why Flask is Microframework?

Flask is a micro web framework written in Python. It is classified as a microframework because it does not require particular tools or libraries. It has no database abstraction layer, form validation, or any other components where pre-existing third-party libraries provide common functions.

How to build blog app using Flask Part I https://www.youtube.com/watch?v=dIN31vX9Qvw&list=UUsFz0IGS9qFcwrh7a91juPg

#python #flask #sqlalchemy

A web Development using Python with Flask.
https://www.youtube.com/watch?v=RB3SPvP0lL0


Playlist: https://www.youtube.com/watch?v=dIN31vX9Qvw&list=PL0nX4ZoMtjYGzAtRxyP0szpmv3Yaub-0o

GitHub: https://github.com/epythonlab/BlogApp.git/

Learn How to create web app using Flask
https://youtu.be/dIN31vX9Qvw
Watch full tutorial: https://www.youtube.com/playlist?list=PL0nX4ZoMtjYGzAtRxyP0szpmv3Yaub-0o
Subscribe, Like and Share

Develop Modern App Using Flask(Python)

https://youtu.be/dIN31vX9Qvw

Watch full tutorial: https://www.youtube.com/playlist?list=PL0nX4ZoMtjYGzAtRxyP0szpmv3Yaub-0o
Subscribe, Like and Share

Website Scraper App with Flask and Python
https://youtu.be/EM9upHH-dTU
Test it and give feedback
https://blddemo.herokuapp.com

Develop Modern App Using Flask(Python)

https://youtu.be/dIN31vX9Qvw

Watch full tutorial: https://www.youtube.com/playlist?list=PL0nX4ZoMtjYGzAtRxyP0szpmv3Yaub-0o
Subscribe, Like and Share

Flask Web Development

📖 book

Video playlist: https://www.youtube.com/playlist?list=PL0nX4ZoMtjYGzAtRxyP0szpmv3Yaub-0o

@epythonlab #flask

😍😍You can learn how to develop modern web app using Python 🐍🐍

https://youtu.be/dIN31vX9Qvw
Watch full tutorial: https://www.youtube.com/playlist?list=PL0nX4ZoMtjYGzAtRxyP0szpmv3Yaub-0o
😍😍Subscribe, Like and Share😍😍

A step by step tutorial how to build a github repo search tool using html, css, and flask.

This project will really help you to get insights on how to  build your own portfolio project using Python as a backend and html CSS as a front end and also integrating third party API to obtain the required data for your project.

Feel free to contribute to this project.

✔️ The source code link is in the description box of this tutorial.
#python #epythonlab #webdevelopment #pythontutorial #flask

https://www.youtube.com/watch?v=iBMtv-MMqKg

Website Scraper App with Flask and Python
https://youtu.be/EM9upHH-dTU
Test it and give feedback
https://blddemo.herokuapp.com

When I build an AI application, choosing the backend framework is an important decision.

There are several good options, but I usually look at 𝐅𝐚𝐬𝐭𝐀𝐏𝐈, 𝐃𝐣𝐚𝐧𝐠𝐨, and 𝐅𝐥𝐚𝐬𝐤 first.

The choice really depends on what I'm building.

✔️ 𝐅𝐚𝐬𝐭𝐀𝐏𝐈 makes a lot of sense when the application is mainly an AI/API backend. Since most AI tools I use are already in Python, I can keep the whole stack in one ecosystem, from LLMs and embeddings to document processing, RAG, databases, and the API itself.

✔️ 𝐃𝐣𝐚𝐧𝐠𝐨 is a strong choice when the AI functionality is part of a larger web application. Its built-in ORM, authentication, admin panel, and other features can save a lot of development time.

✔️ 𝐅𝐥𝐚𝐬𝐤 is still a great option when I want something simple, lightweight, and flexible, especially for smaller services or prototypes.

For an AI application, I also need to think beyond the framework:

✔️ Authentication

✔️ Database and data persistence

✔️ Document processing

✔️ Embeddings and vector search

✔️ RAG

✔️ Background tasks

✔️ Testing

✔️ Docker

✔️ Monitoring

✔️ Deployment

There isn't one framework that is "best" for every AI application. For the type of production AI backends I'm building, 𝐅𝐚𝐬𝐭𝐀𝐏𝐈 is often a practical choice because it provides a clean API layer while keeping everything close to the Python AI ecosystem.

The framework is only one piece of the puzzle.

Good architecture matters more than the framework you choose.


What do you normally use for AI applications: 𝐅𝐚𝐬𝐭𝐀𝐏𝐈, 𝐃𝐣𝐚𝐧𝐠𝐨, 𝐅𝐥𝐚𝐬𝐤, or something else?

Here is the roadmap to build an AI application with FastAPI: https://www.youtube.com/watch?v=0SLLG2Z_Htw


#FastAPI #Python #AIEngineering #GenerativeAI #RAG #BackendDevelopment #MachineLearning #Django #Flask #SoftwareArchitecture