AIOHTTP
Toolz
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| AIOHTTP | Toolz | |
|---|---|---|
| 23 | 23 | |
| 14,547 | 4,520 | |
| 1.1% | 1.0% | |
| 9.7 | 4.2 | |
| 6 days ago | 2 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
- How to Stream Bytes Uploaded so far in Python like XMLHttpRequest: progress event
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Multiprocessing/multithreading
If you want speed, I would try to rewrite everything using an asynchronous library like aiohttp.
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Speed Up Web Scraping with Concurrency in Python
requests does not support async out-of-the-box, so we will use aiohttp to avoid complications. requests can do the job, and there is no substantial performance difference. But the code is more readable using aiohttp.
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How can I wrap a synchronous function in an async coroutine?
I'm using aiohttp to build an API server that sends TCP requests off to a seperate server. The module that sends the TCP requests is synchronous and a black box for my purposes. So my problem is that these requests are blocking the entire API. I need a way to wrap the module requests in an asynchronous coroutine that won't block the rest of the API.
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Favorite Python Web Framework
aiohttp - Everything that I need and nothing that I don't.
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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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Getting nothing but 429 responses when using Go (golang) client. Same requests work everywhere other than go apps.
Reminds me of this post from 5 months ago, but it was for a Python library. I made a discussion thread on the aiohttp repo and someone ended up contacting the reddit admins about it. The problem seems to be resolved now.
Toolz
- Ask HN: How can I get better at writing production-level Python?
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[DISCUSSION] What's your favorite Python library, and how has it helped you in your projects?
My favourite lib would probably be toolz, it's just so elegant and fun to use. But it's more functional approach is not always the best fit for the time, so in practice I mostly use it in research, prototyping, console and notebooks.
- REBL
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What are the best ways to learn Python and Pyspark for ML engineering?
I am not new to Python but only used it to write scripts. Should I start a Python book and then a PySpark book or go directly to PySpark? When reading the legacy code, I found there are usages like GitHub - pytoolz/toolz: A functional standard library for Python. I never heard of.
- Toolz: A Functional Standard Library For Python
- Functional python for data process
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Top python libraries/ frameworks that you suggest every one
toolz is wildly useful https://github.com/pytoolz/toolz
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Show HN: Koda, a Typesafe Functional Toolkit for Python
Maybe the toolz[0] family would cover your use cases? There is also a Cython implementation if you need better performance.
[0] https://github.com/pytoolz/toolz/
- What're the cleanest, most beautifully written projects in Github that are worth studying the code?
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Functional programming beyond itertools
You'll probably enjoy toolz.
What are some alternatives?
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
funcy - A fancy and practical functional tools
httpx - A next generation HTTP client for Python. 🦋
fn.py - Functional programming in Python: implementation of missing features to enjoy FP
Flask - The Python micro framework for building web applications.
CyToolz - Cython implementation of Toolz: High performance functional utilities
requests - A simple, yet elegant, HTTP library.
Pyrsistent - Persistent/Immutable/Functional data structures for Python
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
Coconut - Simple, elegant, Pythonic functional programming.
Django - The Web framework for perfectionists with deadlines.
returns - Make your functions return something meaningful, typed, and safe!