Jade VS Flask

If you have a bit of Nodejs SSR background, you would already be accustomed to templating libraries like Pug, Handlebars, EJS, etc. If you’re from a PHP background you would be familiar with the Blade templating engine. These templating libraries basically help you render dynamic data from the backend on the frontend. They also help you generate markup with loops based on conditions.

The right way to start is with HTML and motherfucking web site.

https://motherfuckingwebsite.com/

Really. At this point this is what web sites should strive to be.

Pug is a great way to write HTML by hand. I integrated it with GitHub Pages so pug sources get compiled to HTML and published when commits are pushed. Great experience.

https://pugjs.org/

https://github.com/pugjs/pug

To illustrate the process of migrating from Express to Fastify, we have prepared a demo application. This application utilizes Express, Mongoose, and Pug to create a URL Shortener app as follows:

Disclaimer: The markup of CodePen examples is still in Pug. However, you can view it compiled as HTML by opening the code tab menu and selecting "View compiled HTML" (But, by the way, if you are not already familiar with Pug Templates, I strongly advise you to check them out).

I've been using Pug.js (https://github.com/pugjs/pug) for quite a few projects in the past but when I went to look at it yesterday it looks like it's no longer in active development. Lots of open issues and no response where someone asks what happened.

Hi folks I'm wondering if someone of you is a Django developer who also use pug for templates? Anyone?

I'm sorry about your doggie, but you have the wrong subreddit. The Pug template engine https://pugjs.org/ is discussed here exclusively. Dogs are not discussed here.

The pug support for my projects is the last step for final migration from VSCode to Helix - any suggestions as to what existing language can be used as a basis for adaptation?

#!/usr/bin/python # # https://flask.palletsprojects.com/en/3.0.x/installation/ # from flask import Flask, jsonify, request contacts = [ { "id": "1", "firstname": "Lorem", "lastname": "Ipsum", "email": "[email protected]", }, { "id": "2", "firstname": "Mauris", "lastname": "Quis", "email": "[email protected]", }, { "id": "3", "firstname": "Donec Purus", "lastname": "Purus", "email": "[email protected]", } ] app = Flask(__name__, static_url_path='', static_folder='public',) @app.route("/contact//save", methods=["PUT"]) def save_contact(id): data = request.json contacts[id - 1] = data return jsonify(contacts[id - 1]) @app.route("/contact/", methods=["GET"]) @app.route("/contact//edit", methods=["GET"]) def get_contact(id): return jsonify(contacts[id - 1]) @app.route('/') def root(): return app.send_static_file('index.html') if __name__ == '__main__': app.run(debug=True)

I was looking at all the big projects like numpy, pytorch, flask, etc.

Explore here.

I may use Flask-Admin initially to offload the "CRUD" operations to have an initial prototype fast but then drop it ASAP because I don't want to write a "flask-admin application" to fight against later on. If the application is mainly "CRUD", then Flask-Admin is suitable.

Now...

Would you do a breakdown/list of all the jobs you've done by sector/vertical and by function/role and by application functionality?

- [0]: https://flask.palletsprojects.com

- [1]: https://flask-admin.readthedocs.io/en/latest

- [2]: https://flask.palletsprojects.com/en/2.3.x/patterns/celery

- [3]: https://sentry.io

- [4]: https://posthog.com

- [5]: https://www.docker.com

In the lab to follow, we will be setting up an end-to-end DevOps workflow for a Flask microservice with GitHub Actions, using a self-managed custom runner for maximal control over the pipeline execution environment and automating deployments to a local Kubernetes cluster. Furthermore, we will construct separate pipelines for our "development" and "production" environments to further elaborate on the concepts of continuous deployment and delivery.

Flask Micro web Framework: You will use Flask to build a Flask web application.

In an earlier post I mentioned a bunch of Open Source web applications. Let's now focus on the ones written in Python using Flask the light-weight web framework.

I also suggest that once you've gained familiarity with the basics, you look at micro-frameworks, such as FastAPI and flask, before switching to a full fat framework like django, which will give you an appreciation of what opinionated frameworks such as django can do for you.