PySnooper
httpx
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PySnooper | httpx | |
---|---|---|
13 | 53 | |
16,260 | 12,234 | |
- | 2.5% | |
5.5 | 9.0 | |
3 months ago | 7 days ago | |
Python | Python | |
MIT License | 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.
PySnooper
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Logging code mess
Definitely not for production, but for debugging (esp. in cases where interactive debugging doesn't work) I've found PySnooper very useful
- What Python debugger do you use?
- What a good debugger can do
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Trace your Python process line by line with minimal overhead!
Looks interesting I will definitely try this.
For those that find this interesting, you might also like pysnooper - I use it all the time.
https://github.com/cool-RR/PySnooper
https://python.plainenglish.io/pysnooper-stop-debugging-pyth...
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What is your favorite ,most underrated 3rd party python module that made your programming 10 times more easier and less code ? so we can also try that out :-) .as a beginner , mine is pyinputplus
Found PySnooper the other day.
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What was the most helpful resource that allowed you become a better coder?
pysnooper! https://github.com/cool-RR/PySnooper
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“I think the vast majority of developers still debug using print() statements”
Shameless plug: PySnooper is a debugging tool for Python that lets you debug in a way that's as easy as adding print statements, but gives you a lot more information automatically.
https://github.com/cool-RR/PySnooper/
HN thread: https://news.ycombinator.com/item?id=19717786
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Top python libraries/ frameworks that you suggest every one
snoop or pysnooper
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No more Print For Debugging In Python Anymore
If you want to install a library, pysnooper is cool. It's like an automatic print on every line of your function, with values.
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The unreasonable effectiveness of print debugging
The Python package PySnooper is pretty good for "fancy" print debug statements: https://github.com/cool-RR/pysnooper
I've caught quite a few bugs using this show-me-all-locals() approach...
httpx
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A Retrospective on Requests
For reference, it's a butterfly, not a moth.
Source: https://github.com/encode/httpx/issues/834
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Show HN: Twitter API Wrapper for Python – No API Keys Needed
Very cool, first I'm hearing of httpx https://www.python-httpx.org/
I think most people would start with trying out requests or something for this kind of work, I'm guessing that didn't work out? You've got a star from me.
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Harlequin: SQL IDE for Your Terminal
To access 10 different commands at the same time, that is tricky but definitely doable.
First thing that comes to mind, you can use aliases.
To keep it simple, lets use 3 examples instead of 10: harlequin (this project), pgcli (https://www.pgcli.com/) and httpx (https://www.python-httpx.org/)
Setup a main home for all your venvs:
cd ~
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HTTP Rate Limit
There are already some implementations for Python HTTP clients. One of them is aiometer. But it's not suitable for my use case. Since httpx already has the internal pool, it would be better to reuse the design.
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Introducing Flama for Robust Machine Learning APIs
Besides, flama also provides support for SQL databases via SQLAlchemy, an SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL. Finally, flama also provides support for HTTP clients to perform requests via httpx, a next generation HTTP client for Python.
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Embracing Modern Python for Web Development
We can use the async HTTP client provided by httpx, a fully featured HTTP client for Python with an API broadly compatible with requests, so it can be used in pretty much the same way in most cases.
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Didn't want to click on refresh to see updates, this is what I did!
httpx in place of requests library
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Python Requests 3
The main value of Requests is that it provided an abstract interface on top of HTTP, which was designed well-enough to become a standard. But today it has fallen way behind in its field, and there are much better alternatives such as HTTPX [0].
[0] https://www.python-httpx.org/
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Unlocking Performance: A Guide to Async Support in Django
HTTPX is a popular Python library that provides an asynchronous HTTP client, and it can be beneficial for enabling async support in Django. While Django itself does not require HTTPX for async support, using HTTPX in combination with Django's async views can bring several advantages:
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Show HN: Python package for interfacing with ChatGPT with minimized complexity
The underlying library for both sync and async is httpx (https://www.python-httpx.org/) which may be limited from the HTTP Client perspective but it may be possible to add rate limiting at a Session level.
What are some alternatives?
snoop - Snoop — инструмент разведки на основе открытых данных (OSINT world)
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
icecream - 🍦 Never use print() to debug again.
Niquests - Requests but with HTTP/3, HTTP/2, Multiplexed Connections, System CAs, Certificate Revocation, DNS over HTTPS / TLS / QUIC or UDP, Async, DNSSEC, and (much) pain removed!
snoop - A powerful set of Python debugging tools, based on PySnooper
requests-html - Pythonic HTML Parsing for Humans™
django-modelcluster - Django extension to allow working with 'clusters' of models as a single unit, independently of the database
requests - A simple, yet elegant, HTTP library.
python-devtools - Dev tools for python
Flask - The Python micro framework for building web applications.
pdbpp - pdb++, a drop-in replacement for pdb (the Python debugger)
starlette - The little ASGI framework that shines. 🌟