[0:00] I recently made a video encouraging
[0:02] React developers to learn Python in 2025
[0:05] if they want to get a job. My reasoning
[0:07] in the video was I went through LinkedIn
[0:10] job postings for React developers. Seven
[0:13] out of 10 of them wanted you to also
[0:15] know Python. That's 70% of the React
[0:18] related job postings on LinkedIn. In
[0:21] this video, I want to talk about some of
[0:22] the popular Python frameworks out there
[0:25] and help you decide which framework you
[0:27] should learn in 2025. First off, the big
[0:30] three web frameworks for Python
[0:32] developers is Flask, Fast API, and
[0:36] Django. Flask and Django are both
[0:39] synchronous frameworks, which means you
[0:41] have to do everything in order. Fast API
[0:44] allows asynchronous development, which
[0:47] makes it up to 5 to 10 times faster than
[0:50] Django and Flask. Now, I'm not a Python
[0:53] expert yet. I'm just now starting to
[0:55] learn myself, but based on what I've
[0:56] studied, it sounds like Flask would be
[0:59] the quickest way to get up and running
[1:01] learning Python. You can whip up a
[1:03] server in no time, but there's not a lot
[1:06] of built-in libraries and features. So,
[1:09] as you're building, if you need to get
[1:10] more and more complex, you're probably
[1:12] going to have to install additional
[1:14] things into the framework as you go
[1:17] along. So Flask is kind of a good way to
[1:19] get started, but it may not be the best
[1:22] for production level development or for
[1:24] getting a job. Django, on the other
[1:26] hand, has everything included in the
[1:29] framework from the get- go. It has an
[1:31] OM, authentication, admin panels, forms,
[1:35] security patches. It's over 15 years
[1:37] old. It has a huge built-in ecosystem,
[1:40] and this is a big statistic. 76% of
[1:44] Python developers use Django. So really,
[1:47] if you're just looking to get a job at
[1:49] maybe an established company, Django's
[1:52] probably the smartest option, it's what
[1:54] most Python developers already use,
[1:57] especially if it's a an established
[1:59] company that maybe has a good bit of job
[2:02] security. Django seems like it would be
[2:04] the best framework to learn if you're
[2:06] just trying to get a job at an
[2:07] established company. Having said that,
[2:10] Fast API is really coming in fast. It's
[2:14] now used by 26% of Python developers.
[2:18] And one of the big reasons which I've
[2:19] already mentioned is that it allows
[2:21] asynchronous development. And so again,
[2:24] it can be 5 to 10 times faster than
[2:26] Django. And so you can be handling
[2:28] thousands of requests per second. And so
[2:31] it's got a lot going for it. Another
[2:33] cool thing about fast API is it
[2:36] generates its own open API docs the
[2:39] moment you hit save. And one of the
[2:41] things about fast API is it's used by a
[2:44] lot of startups and also I've read that
[2:46] a lot of large enterprise companies that
[2:49] currently use Java or.net a lot of these
[2:53] companies do not currently use Python
[2:55] but they're wanting to integrate AI into
[2:58] all of their systems but their systems
[3:00] are just so enormous that it would be
[3:02] impractical to move their entire system
[3:05] over to Python. So a lot of these bigger
[3:07] companies are kind of taking a hybrid
[3:09] approach instead of rewriting
[3:11] everything. They're using fast API to
[3:14] just connect part of their service, part
[3:17] of their codebase to Pythonbased AI
[3:20] systems. So a lot of enterprise level
[3:23] software companies are using fast API to
[3:26] integrate AI into their systems right
[3:29] now. And I read something like 45% of
[3:32] them are doing it. So while Django is
[3:34] used by 76% of Python developers,
[3:38] something to really think about is fast
[3:39] API is now being used by 45% of large
[3:43] companies who are trying to integrate AI
[3:46] into their systems. And again, it's just
[3:48] really fast. And so that could be a lot
[3:50] more attractive to startups that value
[3:53] being fast. And it's also great if you
[3:55] need to be running a lot of different
[3:57] functions at the same time, managing
[3:59] different calls at the same time. And so
[4:02] in conclusion, if I had to give you
[4:04] advice on what to learn, I would say it
[4:06] kind of depends on what you want to do
[4:08] in your career. If you're looking to get
[4:10] into anything related to AI, it seems
[4:13] like fast API would be the way to go. It
[4:16] seems to be used a lot for AI
[4:19] specifically. But if you're looking to
[4:20] get a stable, secure job at a
[4:23] well-established company, you may want
[4:24] to learn Django instead. That seems to
[4:26] be the smartest play simply because so
[4:29] many Python developers use Django.
[4:31] Again, 76% of Python developers use
[4:35] Django. But at the end of the day, it
[4:37] would be best to just learn both and
[4:38] even Flask so you can have it on your
[4:40] resume. Just learn all three. As for me,
[4:43] I plan to start with Fast API. I plan to
[4:46] be making some tutorial videos on Fast
[4:48] API soon. So, if you're interested in
[4:50] seeing more of that, I encourage you to
[4:52] subscribe and hit the bell icon to be
[4:54] notified when those videos come out. But
[4:56] I also plan to learn Django and Flask
[4:59] eventually. If you're a Python
[5:00] developer, let us know if I'm giving
[5:02] good advice or not. Maybe I'm not giving
[5:04] good advice. I spent quite a bit of time
[5:06] looking into all this. I hope I gave
[5:09] good advice, but maybe I didn't. Let us
[5:11] know in the comments below. Help us out.
[5:13] Don't forget to like, subscribe, and hit
[5:15] the bell icon if you'd like to see more
[5:17] content like this. Thanks for watching
[5:19] and I'll see you next