[0:00] Python's web development scene is packed
[0:02] with awesome frameworks, but two stand
[0:05] out. Django, the full stack giant, and
[0:08] Fast API, the sleek modern API champ.
[0:13] Whether you're building a full-blown web
[0:14] app or a blazing fast API, choosing the
[0:18] right tool is key. Let's compare them
[0:21] across philosophy, setup, data handling,
[0:24] API features, and speed. Ready? Let's
[0:28] go. First up, what makes these
[0:30] frameworks tick? Django, born in 2005,
[0:35] is the batteries included framework.
[0:37] It's built for perfectionists with
[0:39] deadlines, giving you everything, OM,
[0:43] admin panel, authentication, templates,
[0:46] you name it. Think of it as a Swiss Army
[0:49] knife for web apps. It's perfect for
[0:51] projects like blogs, e-commerce sites,
[0:54] or even Instagram, which runs on Django.
[0:57] Fast API launched in 2018 is all about
[1:01] speed and APIs. It's lightweight, async
[1:05] powered, and uses Python's type ins for
[1:08] super clean code. It's like a sports car
[1:11] built for performance, especially for
[1:13] microservices or realtime apps. So,
[1:16] Django's your go-to for complete web
[1:19] apps, while Fast API shines for high
[1:22] performance APIs. But how do they stack
[1:25] up in setup? Let's talk getting started
[1:28] with a simple hello world example.
[1:31] Django requires a few steps. First,
[1:35] install it with pip install Django. Then
[1:40] create a project Django-admin
[1:43] start project hello world and navigate
[1:47] into it with cd Hello World. Next,
[1:51] create an app python.mmanage.
[1:55] py start app core. Define a view like
[1:59] this.
[2:04] [Music]
[2:08] Finally, run it with Python manage.py
[2:12] run server. It's structured but takes
[2:15] more steps. Fast API is much simpler.
[2:19] Install it with pip install fast API.
[2:24] uvicorn in brackets standard then create
[2:28] a single file run it with uvicorn main
[2:32] app dash dash reload done fast API wins
[2:37] for quick starts but Django structure
[2:40] scales better for complex apps next
[2:43] let's dive into data handling how do
[2:45] these frameworks handle data Django has
[2:49] a powerful OM that makes database work a
[2:52] snap define models and Django handles
[2:55] SQL for you. For validation, it uses
[2:59] forms which are great for web pages, but
[3:02] can feel clunky for APIs. Fast API uses
[3:05] Pantic models for validation. It's fast,
[3:09] clean, and leverages Python type hints.
[3:12] No OM included, but you can pair it with
[3:15] SQL Alchemy or even Django's OM for
[3:18] async power. Fast APIs validation is
[3:21] slick for APIs, while Django's OM is a
[3:25] lifesaver for database heavy apps. Now,
[3:29] let's talk APIs. If you're building
[3:31] APIs, this is huge. Django needs Django
[3:35] REST framework, DRF, for APIs. DRF is
[3:40] powerful, but requires extra setup for
[3:42] serializers and view sets.
[3:45] documentation. You'll need add-ons like
[3:47] DRF, YASG. Fast API is an API superstar.
[3:53] It autogenerates interactive swagger UI
[3:56] and redoc documentation from your code.
[3:59] Write your endpoints and the docs are
[4:01] done. Boom. Fast API is the clear winner
[4:05] for API development. But Django's
[4:08] ecosystem has more tools for full stack
[4:10] needs. So which is faster to develop
[4:13] with? Django speeds up development with
[4:16] its admin panel, built-in off, and
[4:19] thousands of packages for everything
[4:22] from e-commerce to analytics. Its mature
[4:25] ecosystem means tons of tutorials and
[4:28] community support. Fast API is newer but
[4:31] optimizes API development with less
[4:34] boilerplate and async support. Its
[4:37] ecosystem is smaller but growing fast,
[4:40] especially for async libraries. Django's
[4:43] mature ecosystem is great for rapid
[4:46] prototyping while fast APIs async edge
[4:50] suits high-performance APIs. So which
[4:54] should you choose? Pick Django if you're
[4:56] building a full stack app, need an admin
[4:59] panel or want a mature ecosystem. Go for
[5:02] fast API if you're crafting a high-speed
[5:05] API, love async or want autogenerated
[5:09] docs. Both are awesome. It depends on
[5:12] your project. What's your next project?
[5:14] Drop it in the comments and let me know
[5:16] if you're team Django or Fast API. If
[5:20] you found this helpful, smash that like
[5:22] button, subscribe for more Python
[5:24] tutorials, and hit the bell so you don't
[5:27] miss our next video. Thanks for watching
[5:29] and I'll see you in the next