Yeah exactly

Nodejs not javascript. You just a hater

@@IAmNOTTHEBODY Node js should not exist. JavaScript wasn't built for the server, and nor should Node. Use TypeScript at least. Full Static Typing.

@@ZeroBodyProductions so I guess youtube, reddit, spotify, instagram should stop existing as they use lot of python (django) in the backend. And use C++ and C in the backend? are you really that low IQ? why static typing is that a self made rule? Most used language in the backend in the world is Java and PHP which makes your entire original comment pointless, PHP is not statically typed and Java has no low level support. Why do gatekeepers like you misguide people even though you know absolutely nothing.

@@ZeroBodyProductions If it shouldn't exist why is it so popular then?

Python is strongly typed and completely type-safe. Are you confusing type safety with static typing?

Why not? Django allows very high development speed. And if you mean runtime performance (not what the video said, but ok): a little while back I was curious about performance, and made a small application in Django, Flask, and Go, and benchmarked it. Django with pypy was the fastest. Yes, faster than Go. I profiled a bit, and it appears that Go's standard html/template is horrendously slow.

@@ouchlock any suggestion where to start its really hard for me i know python php go

Javasc also

@@antagonist6966 try axum

@@antagonist6966start with axum + aws lamba for backend, sqlx for postgres

why is that?

​@xdjqye nest is the best, but even Koa or fastify better than express.

Python isn't fine in production. Minor Python upgrades can wipe out a major version of a package, or minor versions of packages that other packages have dependencies on. It's a dependency minefield. We just need a major CVE to throw anything with exposed Python into disarray. Unlike dotnet where most packages built for dotnet 5 will run happily in a dotnet 9 project, Python needs whole environments per project with specific Python and package versions with only minor version differences. Many packages in that ecosystem don't use semantic versioning. We "solved" it at IFS by running a dotnet API gateway with all the Python hidden at the back hosted by Seldon - so it's at least a hop away from the front line, and if there was a major CVE scenario, it would be significantly lower risk.

Isn't java one of the most popular languages for backend

Python is widely used and perfectly viable as a backend platform. I've been working on Python web backends professionally for more than ten years now, for a handful of employers/clients. If it isn't for you, that's fine. There are pros and cons for all languages you mention. But don't project your opionion as some universal truth.

​@@phobos.anomalytrue

actually, I completely agree on become expert ai prompter. 5 years ago there were Stackoverflow and Github discussion but now cursory, copilot, openai. The time flies really fast.

PHP is dead.

Php❤❤❤❤

It's old

@@ZhrJwd -

🐘

Fastapi or you can use flask

@@tisfoulla-academy Thanks.

You're welcome, part 2 will be available tomorrow 😊

@@tisfoulla-academy Great, I'm ready.🦾

HTML, CSS, and JavaScript are the core technologies for front-end development, and they are enough for basic websites. However, the additional tools and frameworks in a roadmap, like version control (Git), , and JavaScript frameworks (React, angular,Vue), help you work more efficiently, handle bigger projects, and stay competitive as front-end development evolves.

It depends on your goals, but expanding your skillset can open up more opportunities

You're welcome 🤗🤗

👍🤝

The exception happened because User is an SQLAlchemy model, not a Pydantic model, which is why it couldn't be used directly as a response_model , So, I created a UserResponse model with the same attributes as User, but now it is a Pydantic model The Config subclass in the UserResponse Pydantic model includes orm_mode = True, which tells Pydantic to treat the SQLAlchemy model instances as if they were Pydantic models. This allows us to return SQLAlchemy objects from our database queries and have them automatically converted into the UserResponse Pydantic model for our API responses.

Normally, Pydantic expects JSON as input. But in this case, we are sending a SQLAlchemy model object as a JSON response. To parse this, we have to tell Pydantic that the input will be an ORM object and the output will be JSON. This is why we use orm_mode = True in the Config subclass of the Pydantic model. I hope this helps clarify things!

you'are welcome

Thank you so much 🙏😊