xmltodict
httpx
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xmltodict | httpx | |
---|---|---|
7 | 53 | |
5,380 | 12,274 | |
- | 2.5% | |
0.6 | 8.9 | |
3 months ago | 4 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.
xmltodict
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XML to CSV or JSON using Cloud Function
Your Cloud Function would be written in Node.js, Python, Go, Java, C#, Ruby, or PHP; pick the one you're most comfortable with. It would get the name and bucket of the newly uploaded XML file as an input parameter. It would then load the file and call a library that makes the conversion. Example libraries: xml-js (for Node), xmltodict (for Python).
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Did I reinvent a wheel?
Go with xmltodict. Works pretty fine, and you just have to drop any key begining with @ or # (if there is not already an option for that).
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Top python libraries/ frameworks that you suggest every one
Nope, sorry, it's just an XML generator. The Python stdlib offers https://docs.python.org/3/library/xml.etree.elementtree.html and PyPI offers https://github.com/martinblech/xmltodict for parsing, and you could write CSV with csvwriter or pandas.
- Dict or List to store table like data
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Like JQ, but for HTML
xmlstarlet is really nothing like jq, as a language. But yes, I use it because it is the best commandline xml processor I'd found. That's the only similarity to jq.
Is this the yq? https://kislyuk.github.io/yq/ It does contain an 'xq', as a literal wrapper for jq, piping output into it after transcoding XML to JSON using xmltodict https://github.com/martinblech/xmltodict (which explodes xml into separate JSON data structures).
This is a bash one-liner! But TBF it really is a 'jq for xml'. I think it would be horrible for some things, but you could also do a lot of useful things painlessly.
- Parsing unknown XML file with Python?
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I used raw data from my watch (and Python) to make a map of all the NH48 hikes from this year. I hiked Liberty and Flume before I got the watch in June, so I need to do those again! Color-coded by altitude.
Super-easy, take a look at xmltodict https://github.com/martinblech/xmltodict xmltodict.parse(xml_str) gets you a dictionary
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?
lxml - The lxml XML toolkit for Python
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
untangle - Converts XML to Python objects
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!
MarkupSafe - Safely add untrusted strings to HTML/XML markup.
requests-html - Pythonic HTML Parsing for Humans™
pyquery - A jquery-like library for python
requests - A simple, yet elegant, HTTP library.
xhtml2pdf - A library for converting HTML into PDFs using ReportLab
Flask - The Python micro framework for building web applications.
xmldataset - xmldataset: xml parsing made easy 🗃️
starlette - The little ASGI framework that shines. 🌟