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full-stack-svelte-prototype | Flask | |
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1 | 135 | |
10 | 66,350 | |
- | 0.8% | |
0.0 | 8.7 | |
over 2 years ago | 3 days ago | |
JavaScript | Python | |
- | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
full-stack-svelte-prototype
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Ask HN: Simplest stack to build web apps in 2021?
> They all look complicated and require lots of configs and plumbing to get started.
I felt the same way so I made my own full-stack "framework" just for me centered around the Svelte component library which I love:
https://github.com/Glench/full-stack-svelte-prototype/
Been using it in production and really really happy with it. Obviously kind of stinks to not have community support but so far it hasn't been a huge issue.
It basically sets up all the crap that I don't want to have to think about while keeping a tight coupling between the front-end and back-end (which is how I develop) — clear separation of code that runs on the server vs the client (with code splitting and CSS generation), rendering pages on server and hydrating client components, communicating between the server and client, re-rendering components when new data arrives. It really fits my needs well.
Flask
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Ask HN: High quality Python scripts or small libraries to learn from
I'd suggest Flask or some of the smaller projects in the Pallets ecosystem:
https://github.com/pallets/flask
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Rapid Prototyping with Flask, Bootstrap and Secutio
#!/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)
- Microdot "The impossibly small web framework for Python and MicroPython"
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Why do all the popular projects use relative imports in __init__ files if PEP 8 recommends absolute?
I was looking at all the big projects like numpy, pytorch, flask, etc.
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10 Github repositories to achieve Python mastery
Explore here.
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Ask HN: What would you use to build a mostly CRUD back end today?
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
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Implementing continuous delivery pipelines with GitHub Actions
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.
- How do you iterate on a library built locally?
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Flask Application Load Balancing using Docker Compose and Nginx
Flask Micro web Framework: You will use Flask to build a Flask web application.
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Open Source Flask-based web applications
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.
What are some alternatives?
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
Meteor JS - Meteor, the JavaScript App Platform
Django - The Web framework for perfectionists with deadlines.
fastapi-fullstack-boilerplate - A full stack (monolith) boilerplate for FastAPI
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
kemal - Fast, Effective, Simple Web Framework
quart - An async Python micro framework for building web applications.
Echo - High performance, minimalist Go web framework
starlette - The little ASGI framework that shines. 🌟
mux - A powerful HTTP router and URL matcher for building Go web servers with 🦍
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.