trio
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trio | Flask | |
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19 | 135 | |
5,883 | 66,350 | |
1.6% | 0.8% | |
9.5 | 8.7 | |
1 day ago | 3 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
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trio
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trio VS awaits - a user suggested alternative
2 projects | 9 Dec 2023
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In what ways are channels are better than the traditional await?
Incidentally, the alternative event loop implementation trio in python does not have "gather", you also need channels, and it's a deliberate design choice - there is some discussion about that in this ticket https://github.com/python-trio/trio/issues/2188
- Polyphony: Fine-Grained Concurrency for Ruby
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This Week In Python
trio – a friendly Python library for async concurrency and I/O
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Python projects with best practices on Github?
trio. the best code, the best documentation, awesome community.
- Trio: Structured Concurrency for Python
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The Heisenbug lurking in your async code (Python)
I'll +1 the Trio shoutout [1], but it's worth emphasizing that the core concept of Trio (nurseries) now exists in the stdlib in the form of task groups [2]. The article mentions this very briefly, but it's easy to miss, and I wouldn't describe it as a solution to this bug, anyways. Rather, it's more of a different way of writing multitasking code, which happens to make this class of bug impossible.
[1] https://github.com/python-trio/trio
[2] https://docs.python.org/3/library/asyncio-task.html#task-gro...
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The gotcha of unhandled promise rejections
It's similar to manual memory management.
Structured concurrency is one approach to solving this problem. In a structured concurrency a promise would not go out of scope unhandled. Not sure how you would add APIs for it though.
See Python's trio nurseries idea which uses a python context manager.
https://github.com/python-trio/trio
I'm working on a syntax for state machines and it could be used as a DSL for promises. It looks similar to a bash pipeline but it matches predicates similar to prolog.
In theory you could wire up a tree of structured concurrency with this DSL.
https://github.com/samsquire/ideas4#558-assign-location-mult...
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Python Asyncio: The Complete Guide
Not complete - doesn't include Task Groups [1]
In fairness they were only included in asyncio as of Python 3.11, which was released a couple of weeks ago.
These were an idea originally from Trio [2] where they're called "nurseries" instead of "task groups". My view is that you're better off using Trio, or at least anyio [3] which gives a Trio-like interface to asyncio. One particularly nice thing about Trio (and anyio) is that there's no way to spawn background tasks except to use task groups i.e. there's no analogue of asyncio's create_task() function. That is good because it guarantees that no task is ever left accidentally running in the background and no exception left silently uncaught.
[1] https://docs.python.org/3/library/asyncio-task.html#task-gro...
[2] https://github.com/python-trio/trio
[3] https://anyio.readthedocs.io/en/latest/
- Anyone here able to help with a python issue?
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?
uvloop - Ultra fast asyncio event loop.
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
curio - Good Curio!
Django - The Web framework for perfectionists with deadlines.
asyncio
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
Twisted - Event-driven networking engine written in Python.
quart - An async Python micro framework for building web applications.
LDAP3 - a strictly RFC 4510 conforming LDAP V3 pure Python client. The same codebase works with Python 2. Python 3, PyPy and PyPy3
starlette - The little ASGI framework that shines. 🌟
DearPyGui - Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.