[0:00] So, you're trying to learn Python web
[0:01] development, but now you're stuck
[0:03] between a Django and a FastAPI. I know
[0:06] you've watched a lot of videos on this,
[0:08] but somehow you're more confused. And
[0:10] don't worry, I've been there, and in the
[0:12] next couple of minutes, I'm going to
[0:13] make this decision super, super easy for
[0:15] you. All right, before I compare between
[0:17] a Django and FastAPI, I want to change
[0:20] the question.
[0:21] Most people ask me, "Which framework is
[0:24] better?"
[0:25] But you know what? This question itself
[0:28] is wrong. The right question is, "Which
[0:31] framework is right for where I am right
[0:34] now?" Because both Django and FastAPI
[0:36] are great. They just solve different
[0:38] problems. So, let me quickly explain
[0:40] more. Django is what we call a
[0:42] batteries-included framework. That means
[0:45] when you start a Django project, you
[0:47] already get user authentication, an
[0:49] admin panel, a database ORM, form
[0:51] handling, all out of the box. You don't
[0:54] have to manually write the code for all
[0:55] of these features. It's actually
[0:57] designed to build the complete
[0:58] applications fast. Now, the FastAPI, on
[1:01] the other hand, is a microframework.
[1:03] What do I mean by microframework? Is
[1:05] that it's lightweight, it's modern, and
[1:08] as the name says, it's really, really
[1:10] fast. It is built specifically for
[1:12] building APIs, and it's excellent if
[1:14] you're working with machine learning
[1:15] models or microservice architecture. So,
[1:18] think of it this way, Django is a fully
[1:21] equipped framework to build whole web
[1:23] application.
[1:25] Now, FastAPI is a minimalist framework.
[1:28] You get exactly what you need to build
[1:30] APIs, and you assemble everything
[1:32] yourself to make it a full application.
[1:34] All right, there can be three types of
[1:36] people. You just tell me which one
[1:37] sounds like you. So, person one, let's
[1:40] say you're fairly new to Python. Maybe
[1:42] you've done some tutorials, you
[1:44] understand the basics, and now you want
[1:47] to build something real, like like a web
[1:50] website or web application,
[1:52] portfolio project, or maybe you know,
[1:54] you're you're on a startup project, or
[1:57] maybe like a web app idea you've been
[1:59] thinking of. If this sounds like you,
[2:02] Django is your answer. It will teach you
[2:04] how the web works, how requests and
[2:07] responses work, how databases connect to
[2:09] your app, how users log into your app.
[2:12] This is the foundation. Now the person
[2:14] two, let's say you already know Python
[2:16] very well, you're working in data
[2:18] science or machine learning and you need
[2:20] to deploy your models as an API. Or if
[2:23] you're working on a kind of a
[2:25] large-scale project or maybe it's a
[2:27] microservice project. If that's you,
[2:29] FastAPI is probably the best fit for
[2:32] you. It is built for exactly that use
[2:34] case. Now person three, let's say you're
[2:36] switching careers into tech.
[2:39] You want to get a job as a back-end
[2:40] developer within the next three to
[2:44] six months.
[2:45] So you need a skill that employers are
[2:47] actually hiring for right now. So again,
[2:49] if that sounds like you, again Django is
[2:52] your answer. You can go and search
[2:54] Python back-end developer on LinkedIn or
[2:56] Indeed right now.
[2:57] You'll see Django and Django REST
[2:59] framework in the majority of those job
[3:01] descriptions.
[3:02] So honestly, most of my viewers
[3:05] fall into the person one and person
[3:07] three category. So Django is the clear
[3:09] starting point for them. No doubt,
[3:11] FastAPI is growing fast,
[3:13] but right now in 2026, if you look at
[3:16] actual Python back-end job postings,
[3:18] Django still dominates. Companies that
[3:20] have been running web applications for
[3:22] years, like startups, product companies,
[3:25] agencies, service-based companies, like
[3:28] they are built on Django.
[3:30] They need a developers who know Django.
[3:32] So FastAPI is more common in newer
[3:34] companies, like you know, ML-heavy teams
[3:37] or AI research companies and those
[3:40] large-scale companies that uses
[3:42] microservice architecture. FastAPI jobs
[3:44] also exist a lot, but they usually
[3:46] expect you to have the solid
[3:48] fundamentals. So if getting hired is the
[3:51] part of your goal,
[3:52] Django gives you more doors to knock on
[3:54] right now. To be frank, these two
[3:56] frameworks are not at all enemies. You
[3:59] don't have to pick one forever. In fact,
[4:01] the best path for most developers is
[4:03] learn Django first and then pick up
[4:06] FastAPI later. Because once you
[4:08] understand how web works and how HTTP
[4:11] requests and responses work, then it
[4:13] will be easy for you to pick up FastAPI.
[4:16] But if you try to start with FastAPI
[4:18] without that foundation knowledge,
[4:21] you'll get confused. Okay, now ask
[4:23] yourself if you think, "Okay, Django
[4:26] makes sense for me." then I have a free
[4:28] resource for you. Just go to
[4:30] techwithratan.com and you can learn
[4:32] Django for free. Just enroll to this
[4:34] course and learn the fundamentals of
[4:36] Django. And if you're looking to learn
[4:38] the advanced Django concepts, you can
[4:40] join my four-week live back-end
[4:42] developer program where I teach you
[4:44] exactly how to create the scalable APIs
[4:47] using Django REST framework.
[4:50] And also, I will teach you how to build
[4:52] the architecture and how to work with
[4:54] the authentication systems like JWT. And
[4:57] also, you'll be building the full
[4:58] e-commerce project and deploy it on the
[5:00] cloud server using Docker and CICD
[5:03] pipeline. So, this is kind of an
[5:04] industry standard deployment practice
[5:06] that nobody else is teaching you on the
[5:08] internet. So, if you're interested, you
[5:10] can join me on the live program. I'll
[5:12] leave a link in the description. And
[5:13] thanks a lot for watching and I'll see
[5:15] you in the next one.