AIOHTTP
CPython
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AIOHTTP | CPython | |
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23 | 1302 | |
14,469 | 59,047 | |
1.1% | 1.7% | |
9.7 | 10.0 | |
6 days ago | 3 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | 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.
AIOHTTP
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Show HN: The HTTP Garden – A Parser Vulnerability Research Tool
> AIOHTTP: The Python int constructor is used to parse Content-Lengths and chunk-sizes, so _, +, and - are misinterpreted.
Fun. I believe the fix is incomplete here[1]. Python's int() constructor accepts integers comprised of any unicode numeral, for example, int("٦٦٦") == 666, and "٦٦٦".isdecimal() == True.
[1] https://github.com/aio-libs/aiohttp/pull/7663/files#diff-197...
- Python HTTP library 'urllib3' now works in the browser
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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?
CPython
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Open source at Fastly is getting opener
Through the Fast Forward program, we give free services and support to open source projects and the nonprofits that support them. We support many of the world’s top programming languages (like Python, Rust, Ruby, and the wonderful Scratch), foundational technologies (cURL, the Linux kernel, Kubernetes, OpenStreetMap), and projects that make the internet better and more fun for everyone (Inkscape, Mastodon, Electronic Frontier Foundation, Terms of Service; Didn’t Read).
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C++ Safety, in Context
In my understanding, no. I believe it was bpo-4489 [1], and I couldn't find a matching advisory from the PSF's database [2] which should contain all historical advisories as well.
- The GIL can now be disabled in Python's main branch
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Eloquent JavaScript 4th edition (2024)
How do you mean? CPython uses karatsuba's for large numbers which should be asymptotically fast
https://github.com/python/cpython/blob/d864b0094f9875c5613cb...
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Top Paying Programming Technologies 2024
24. Python - $78,331
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What is really an API? Examples, Code + History
a. Setting Up: Make sure you have Python and pip (package installer) installed. If you do not have Python, you can install the latest version from the Python ecosystem here
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How to make a turtle racing game in Python
First, if you don't have Python installed on your machine, go to python.org to download the latest version of Python and then install it right away.
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PySimpleGUI 4 will be sunsetted in Q2 2024
You missed that they gave an example that does work—Java Swing is bundled with the JVM, making it more or less part of the standard library. Python itself also has Tkinter, which exists inside the cpython repo and is installed with Python [0].
C++ may not work, but most other languages (especially VM-based) can and many do.
[0] https://github.com/python/cpython/blob/3.12/Lib/tkinter/__in...
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Memray – A Memory Profiler for Python
I collected a list of profilers (also memory profilers, also specifically for Python) here: https://github.com/albertz/wiki/blob/master/profiling.md
Currently I actually need a Python memory profiler, because I want to figure out whether there is some memory leak in my application (PyTorch based training script), and where exactly (in this case, it's not a problem of GPU memory, but CPU memory).
I tried Scalene (https://github.com/plasma-umass/scalene), which seems to be powerful, but somehow the output it gives me is not useful at all? It doesn't really give me a flamegraph, or a list of the top lines with memory allocations, but instead it gives me a listing of all source code lines, and prints some (very sparse) information on each line. So I need to search through that listing now by hand to find the spots? Maybe I just don't know how to use it properly.
I tried Memray, but first ran into an issue (https://github.com/bloomberg/memray/issues/212), but after using some workaround, it worked now. I get a flamegraph out, but it doesn't really seem accurate? After a while, there don't seem to be any new memory allocations at all anymore, and I don't quite trust that this is correct.
There is also Austin (https://github.com/P403n1x87/austin), which I also wanted to try (have not yet).
Somehow this experience so far was very disappointing.
(Side node, I debugged some very strange memory allocation behavior of Python before, where all local variables were kept around after an exception, even though I made sure there is no reference anymore to the exception object, to the traceback, etc, and I even called frame.clear() for all frames to really clear it. It turns out, frame.f_locals will create another copy of all the local variables, and the exception object and all the locals in the other frame still stay alive until you access frame.f_locals again. At that point, it will sync the f_locals again with the real (fast) locals, and then it can finally free everything. It was quite annoying to find the source of this problem and to find workarounds for it. https://github.com/python/cpython/issues/113939)
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Setting Up the Environment
Python, a versatile and powerful programming language, can be easily installed from its official website: https://www.python.org/. This section will guide you through the installation process on various operating systems, including Windows, macOS, and Linux.
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. 🦋
Flask - The Python micro framework for building web applications.
RustPython - A Python Interpreter written in Rust
requests - A simple, yet elegant, HTTP library.
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
Django - The Web framework for perfectionists with deadlines.
starlette - The little ASGI framework that shines. 🌟
CherryPy - CherryPy is a pythonic, object-oriented HTTP framework. https://cherrypy.dev
ipython - Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
Vulpix - Fast, unopinionated, minimalist web framework for .NET core inspired by express.js
Graphene - GraphQL framework for Python