Flask
AIOHTTP
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Flask | AIOHTTP | |
---|---|---|
122 | 21 | |
62,297 | 13,395 | |
1.0% | 1.4% | |
9.2 | 8.1 | |
8 days ago | 5 days ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
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.
Flask
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Starting a personal hobby project, could use some advice on the techstack
Given that you know Python, I would use either Flask, Django or FastAPI (or whatever you're already familiar with). All three come with support for a templates, so you just need create a couple HTML pages and style them with CSS the way you like.
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Can an API be merely a server that has post requests sent to it, rather than something that is installed?
Here's Express for Node.js, Flask for Python, Alfred for Dart, and Gin for Go; that's four different software packages for four completely different programming languages that all do very similar things. Take a look and see which one feels best, and start from there!
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Python projects with best practices on Github?
I have a link of micro framework that I use at my work that I'd like to share. It's Flask, I think this is a nice example to follow 😀
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How is python used for backend?
That is not entirely correct. Although Python is the primary language for data science and machine learning, it is very popular for the regular backend. FastAPI is the best choice to get started. Flask is another great backend framework. Python is a swiss army knife of programming languages, you can do a ton of things with it.
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complex http server?
Flask
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The Python Packages That Gave Me Nightmares: A Guide to Overcoming Common Challenges
Flask: Flask is a micro web framework for Python that is easy to use and lightweight. It's a great choice for small to medium-sized web applications, but can become a nightmare when you need to scale up to handle high traffic and complex requirements. GitHub - https://github.com/pallets/flask
- Kenapa harus FastAPI?
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How to dynamically generate graphics and PDFs using Python an jinja
A few days ago I was searching the internet for a guide on how to use the jinja library to enable a flask application to generate PDF documents. Since I didn't find anything comprehensible on google, here are my findings and the (partially hacky) code i wrote.
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Ruby 3.2.0 Is from Another Dimension
This says much more about you and the developers and codebases you work with than anything to do with Python list comprehensions.
Coming from a point of zero knowledge of the codebase, I picked Flask. I picked the cli.py module in Flask. And what do I find?
https://github.com/pallets/flask/blob/main/src/flask/cli.py#...
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I move from pipenv to poetry in 2023 - Am I right ?
projects that use setuptools : requests, django, flask, boto3... projects that use poetry : ward, ... (if you have some with more than 500 stars, share them in comments) projects that use pipenv : ... (if you have some with more than 500 stars, share them in comments)
AIOHTTP
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complex http server?
aiohttp
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How to Stream Bytes Uploaded so far in Python like XMLHttpRequest: progress event
Check this post https://github.com/aio-libs/aiohttp/issues/6138
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Can you help me review some (working) code to asynchronously download lists of scholarships?
Use aiohttp to download the content of each page of lists. As of this Code Review post, this is the only step we execute.
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The Best Python Web Frameworks🤩
Official Website |GitHub |PyPI
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RuntimeError: Event loop is closed
googling the error returns https://github.com/aio-libs/aiohttp/issues/4324 and that links https://bugs.python.org/issue39232 which is still an open issue.
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What're the cleanest, most beautifully written projects in Github that are worth studying the code?
Better yet, aiohttp.
- How can I run this?
- Comparison of Python HTTP clients
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Building an API with FastAPI
I executed the script 3 times making 20 requests on each execution. Ok now lets replace the synchronous requests library by the asynchronous aiohttp library. Furthermore, we add the async/await keywords on the right positions. Our final code will look like this:
What are some alternatives?
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
httpx - A next generation HTTP client for Python. 🦋
Django - The Web framework for perfectionists with deadlines.
quart - An async Python micro framework for building web applications.
requests - A simple, yet elegant, HTTP library.
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
starlette - The little ASGI framework that shines. 🌟
CherryPy - CherryPy is a pythonic, object-oriented HTTP framework. https://cherrypy.dev
uvicorn - An ASGI web server, for Python. 🦄
Bottle - bottle.py is a fast and simple micro-framework for python web-applications.