Thanks a lot Rob, and thanks for your support. Pydantic underpins a lot of good up-and-coming Python stuff - good to get to grips with the fundamentals! Thanks again
Btw, a way to display the JSON response in a much more readable way is to use the 'pprint()' function from the pprint module. Simply using pprint(response.json()) rather than print(response.json()) will give you a more legible rendering of your json response. I find it super helpful when parsing through deeply nested JSON.
Interesting question. I can definitely imagine Pydantic helping with the transform part of the ETL process. After extracting your data from various sources, you could define validation and transformations with Pydantic - that would be a cool example. That could even be hooked up with something like Apache Airflow.
Pydantic is used with other frameworks such as FastAPI. It can be used in any Python context where you are validating data from an external source, which is very useful. You would not, for example, create a Django app just to validate data. There are different tools that are good for different contexts! The channel has a focus on Django at the moment, and that will be the main thing, but there are other tools that I'd like to explore on here, too.
Great video, perfect timing, working on a Django-Ninja project. Really look forward to your content.
Thanks a lot Rob, and thanks for your support.
Pydantic underpins a lot of good up-and-coming Python stuff - good to get to grips with the fundamentals! Thanks again
Btw, a way to display the JSON response in a much more readable way is to use the 'pprint()' function from the pprint module. Simply using pprint(response.json()) rather than print(response.json()) will give you a more legible rendering of your json response.
I find it super helpful when parsing through deeply nested JSON.
My new favorite Python channel. Job well done !
You are an absolute legend. Truly, between this and your playlists on Django/HTMX, you have saved me from many a headache. Cheers, man.
Thanks very much! Greatly appreciated - cheers :)
@@bugbytes3923can we use pydanric with django?
great pacing and completeness - thx!
Thanks a lot!
Awesome introduction to Pydantic. Will be grateful if you plan a video for Pydantic V2
Great tutorial. Thank you very much
Thanks for watching!
I really look forward to your videos. Thanks a lot
Thanks very much! Appreciate it!
That's a great video. I code with javascript and I wanna learn python for web. 👍
Thanks a lot!
Your tutorial save me from several headaches. Thanks for this I appreciate it 😎
Thanks a lot, glad it was helpful!
This is awesome. You make me love Python more than usual. Much obliged.
Thanks a lot!
Great content!! Thank you!!
Thank you very much! Much appreciated.
This is a great video. Thank you very much. Im working on a project using pydantic library.
Thank you! All the best with your project, hope this helped.
Thank you. Subscribed!
Thanks a lot!
very great video. Thanks
Thanks a lot!
Great content
Cheers!
You are the best, thank you for all videos :) Is this playlist using v1 or v2?
Thanks Tomislav! This was released about 4 months before v2 arrived - hoping to create a new v2 series at some point, though!
@@bugbytes3923 thank you 🕺
When BaseModel is implemented in the same file, it works. But, if you define BaseModel in different file and import it, it raises Redundant Cyclic UHE
Excellent, thanks !
Please, could you show how use websockets with HTMX and FastAPI ???
Thanks for watching! WebSockets and FastAPI would be an interesting one (with some HTMX too). Will definitely add to the list.
@@bugbytes3923 One basic video on using it in isolation, then a second layering it into Django.
Big bro we need on Pydantic V2
Do you think it's a good idea to use Models, Fields and Constrained Types for an ETL (extract, transform and load) process in Data Engineering?
Interesting question. I can definitely imagine Pydantic helping with the transform part of the ETL process. After extracting your data from various sources, you could define validation and transformations with Pydantic - that would be a cool example. That could even be hooked up with something like Apache Airflow.
@@bugbytes3923what is apache airflow 😂
Sir make a video on django sub query please
I have an ORM series I'm working on now, hoping to start releasing videos soon. Subqueries will be part of this series.
@@bugbytes3923 thnx Sir i am waiting
A lot of this functionality is already in Django, which you have videos on. Why use Pydantic when Django has this built in?
Pydantic is used with other frameworks such as FastAPI. It can be used in any Python context where you are validating data from an external source, which is very useful.
You would not, for example, create a Django app just to validate data. There are different tools that are good for different contexts!
The channel has a focus on Django at the moment, and that will be the main thing, but there are other tools that I'd like to explore on here, too.
👍
Thank you!