---
title: 'Learn FastAPI, Django, or Flask in 2025? (Python)'
source: 'https://youtube.com/watch?v=nsmYbQqZEA8'
video_id: 'nsmYbQqZEA8'
date: 2026-06-16
duration_sec: 0
---

# Learn FastAPI, Django, or Flask in 2025? (Python)

> Source: [Learn FastAPI, Django, or Flask in 2025? (Python)](https://youtube.com/watch?v=nsmYbQqZEA8)

## Summary

The video discusses the three major Python web frameworks—Flask, FastAPI, and Django—and helps React developers decide which one to learn in 2025 for career growth. It highlights that 70% of React job postings on LinkedIn also require Python, making this a timely topic. The creator shares insights on each framework's strengths and ideal use cases, based on his own research and learning journey.

### Key Points

- **Python demand for React developers** [0:13] — 70% of React-related job postings on LinkedIn also require Python knowledge.
- **Flask: quick but limited** [0:30] — Flask is synchronous, minimal, and quick to start but lacks built-in features; best for learning basics.
- **Django: feature-rich and widely used** [1:26] — Django is synchronous, all-in-one with ORM, auth, admin panels; used by 76% of Python developers.
- **FastAPI: fast and modern** [2:10] — FastAPI is asynchronous, 5–10x faster than Django/Flask, auto-generates Open API docs.
- **FastAPI for enterprise AI** [3:32] — 45% of large enterprises use FastAPI to integrate AI into existing systems.
- **Framework choice depends on career goals** [4:04] — Learn FastAPI for AI roles, Django for stable jobs; ideally learn all three.

## Transcript

I recently made a video encouraging
React developers to learn Python in 2025
if they want to get a job. My reasoning
in the video was I went through LinkedIn
job postings for React developers. Seven
out of 10 of them wanted you to also
know Python. That's 70% of the React
related job postings on LinkedIn. In
this video, I want to talk about some of
the popular Python frameworks out there
and help you decide which framework you
should learn in 2025. First off, the big
three web frameworks for Python
developers is Flask, Fast API, and
Django. Flask and Django are both
synchronous frameworks, which means you
have to do everything in order. Fast API
allows asynchronous development, which
makes it up to 5 to 10 times faster than
Django and Flask. Now, I'm not a Python
expert yet. I'm just now starting to
learn myself, but based on what I've
studied, it sounds like Flask would be
the quickest way to get up and running
learning Python. You can whip up a
server in no time, but there's not a lot
of built-in libraries and features. So,
as you're building, if you need to get
more and more complex, you're probably
going to have to install additional
things into the framework as you go
along. So Flask is kind of a good way to
get started, but it may not be the best
for production level development or for
getting a job. Django, on the other
hand, has everything included in the
framework from the get- go. It has an
OM, authentication, admin panels, forms,
security patches. It's over 15 years
old. It has a huge built-in ecosystem,
and this is a big statistic. 76% of
Python developers use Django. So really,
if you're just looking to get a job at
maybe an established company, Django's
probably the smartest option, it's what
most Python developers already use,
especially if it's a an established
company that maybe has a good bit of job
security. Django seems like it would be
the best framework to learn if you're
just trying to get a job at an
established company. Having said that,
Fast API is really coming in fast. It's
now used by 26% of Python developers.
And one of the big reasons which I've
already mentioned is that it allows
asynchronous development. And so again,
it can be 5 to 10 times faster than
Django. And so you can be handling
thousands of requests per second. And so
it's got a lot going for it. Another
cool thing about fast API is it
generates its own open API docs the
moment you hit save. And one of the
things about fast API is it's used by a
lot of startups and also I've read that
a lot of large enterprise companies that
currently use Java or.net a lot of these
companies do not currently use Python
but they're wanting to integrate AI into
all of their systems but their systems
are just so enormous that it would be
impractical to move their entire system
over to Python. So a lot of these bigger
companies are kind of taking a hybrid
approach instead of rewriting
everything. They're using fast API to
just connect part of their service, part
of their codebase to Pythonbased AI
systems. So a lot of enterprise level
software companies are using fast API to
integrate AI into their systems right
now. And I read something like 45% of
them are doing it. So while Django is
used by 76% of Python developers,
something to really think about is fast
API is now being used by 45% of large
companies who are trying to integrate AI
into their systems. And again, it's just
really fast. And so that could be a lot
more attractive to startups that value
being fast. And it's also great if you
need to be running a lot of different
functions at the same time, managing
different calls at the same time. And so
in conclusion, if I had to give you
advice on what to learn, I would say it
kind of depends on what you want to do
in your career. If you're looking to get
into anything related to AI, it seems
like fast API would be the way to go. It
seems to be used a lot for AI
specifically. But if you're looking to
get a stable, secure job at a
well-established company, you may want
to learn Django instead. That seems to
be the smartest play simply because so
many Python developers use Django.
Again, 76% of Python developers use
Django. But at the end of the day, it
would be best to just learn both and
even Flask so you can have it on your
resume. Just learn all three. As for me,
I plan to start with Fast API. I plan to
be making some tutorial videos on Fast
API soon. So, if you're interested in
seeing more of that, I encourage you to
subscribe and hit the bell icon to be
notified when those videos come out. But
I also plan to learn Django and Flask
eventually. If you're a Python
developer, let us know if I'm giving
good advice or not. Maybe I'm not giving
good advice. I spent quite a bit of time
looking into all this. I hope I gave
good advice, but maybe I didn't. Let us
know in the comments below. Help us out.
Don't forget to like, subscribe, and hit
the bell icon if you'd like to see more
content like this. Thanks for watching
and I'll see you next