Jooby VS microblog

One of the good things about it is that using asynchrony is optional. If you don't have to call out anywhere to build the response, processing can all stay in the handler's calling thread. If you do, you can return a future and have the library handle the async for you.

One downside is that it is based on Jetty which isn't considered the most performant backend. A lib with a similar API but based on Netty is Jooby [1] which scores well in the Techempower benchmarks.

[1] - https://jooby.io/

Jooby and Helidon SE are among the best.

The code snippet gave me a vibe like it was jooby Looks cool, I suggest maybe start incorporating Project Loom virtual threads in the future.

Speaking of backend development, recently I gave Jooby[1] a try after discovering it was one of the world's top performer in Tech Empower's web framework benchmark[2].

Surprisingly enough, it's terribly easy to put together a REST API with Jooby. I wonder why it's adoption rate is so low.

[1] https://jooby.io/

[2] https://www.techempower.com/benchmarks/

Do you need to use Spring btw? If you want to broaden the tool selection I've had great success with i.e Jooby (https://jooby.io/) together with Kotlin coroutines. Another alternative is the KTOR framework.

Jooby I think is the best bet. https://jooby.io/ watch out for jooby dot org I think someone sniped the domain.

Spring Boot or JAXRS. I personally use Jooby a lot which is similar in style to spark but has annotation support and isn't a singleton.

In this blog, we're going to address the "on any website" part of a Search Solution. Or at least - propose a starting point for it. There are many great tutorials out there for a deep dive on Flask - one of the best from my colleague Miguel.

- https://blog.miguelgrinberg.com/post/the-flask-mega-tutorial...

If you'd like to deploy a web app, Flask is your best friend. It's very user friendly and there's a lot of great tutorials online. The only thing you'd need other than Python knowledge is some basic understanding of HTML/CSS and Jinja notation for variables, both of which are pretty intuitive to learn. Good luck!

I can't speak highly enough of Miguel Grinberg's work with Python/Flask (https://blog.miguelgrinberg.com/post/the-flask-mega-tutorial...) and the community he's created around it, for both beginners and advanced folks.

Racing through his mega tutorial was a great refresher for me on the fundamentals, and it's easy to plug in computer vision & related libraries/extensions/packages.

Use miguel grinberg’s tutorial https://blog.miguelgrinberg.com/post/the-flask-mega-tutorial-part-i-hello-world

I got a recommendation (from a few places) to use Miguel Grinberg's microblog series to help me get up to speed on some flask things. I'm on ch 15 with blueprints, and am running into pylint cyclic import errors, both on my app and in the actual project (https://github.com/miguelgrinberg/microblog/tree/v0.15?search=1)

In the project root directory create a folder called static with one subfolder called js and another called css. The js folder will contain all of the needed local JavaScript files while the css folder will contain all the CSS stylesheets. In the js folder create a file called index.js and in the css folder one called style.css. Just leave them empty for now. If you want to find out more about web development with Flask I suggest you try out this tutorial. Your current project structure should like this:

https://blog.miguelgrinberg.com/post/the-flask-mega-tutorial-part-i-hello-world is not perfect, but a great start.