wordhoard
lxml
wordhoard | lxml | |
---|---|---|
1 | 17 | |
106 | 2,581 | |
- | 1.1% | |
3.4 | 9.6 | |
12 months ago | 6 days ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
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wordhoard
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There is framework for everything.
https://github.com/njtierney/syn https://github.com/johnbumgarner/wordhoard
lxml
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8 Most Popular Python HTML Web Scraping Packages with Benchmarks
lxml
- Looking for someone to web scrape housing data needed research. Will pay you for your work!!
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13 ways to scrape any public data from any website
Parsel is a library build to extract data from XML/HTML documents with XPath and CSS selectors support, and could be combined with regular expressions. It's usees lxml parser under the hood by default.
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lazy and fast .mpd file parser - for video streaming
So, now that I no longer work in that industry, and I had some free time, I created a lazy parsing package using lxml instead of the xml parser in the standard library, which can help people who want to have a python only parsing solution.
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Guide to working with fancier XML documents with python?
Seriously, use LXML.
- There is framework for everything.
- how to find text in website ?
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Parsing XML file deletes whitespace. How to avoid it?
I got curious about this now so I did some tests on my own, and it appears that the XML parser implementation in Python does indeed strip all newline characters from attributes. Whether this is according to XML standard I do not know; I also briefly tried an alternative XML implementation for Python and it behaves the same, so I would assume that this is standard behavior, but I'm not knowledgable enough about XML to say for certain.
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Use case for ETL over ELT?
I use lxml for the XML parsing and pyodbc as the ODBC library. We have a small team so I just keep it as simple as possible: 1. A cursor yields the XML documents from a SQL query as a stream 2. A generator function parses the XML document and yields the rows (you could parallelize this step) 3. Stream each of the resulting rows to a single CSV file 4. Scoop up the resulting CSV file into the target database (usually with the DB engine's loader; bulk insert isn't so fast over ODBC) It ends up being a straight forward, low-overhead approach.
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CompactLogix: Implementing HTTP requests & XML Data Transfer via TCP/IP
If that sounds too weird maybe take a look at pycomm3, python also has lxml as well as requests. You could write a script that retrieves the data from the clx using the appropriate pycomm3 driver for cplx and then do xml things with the data using lxml and transmit the data over http using requests.
What are some alternatives?
NumPy - The fundamental package for scientific computing with Python.
xmltodict - Python module that makes working with XML feel like you are working with JSON
docx4j - JAXB-based Java library for Word docx, Powerpoint pptx, and Excel xlsx files
selectolax - Python binding to Modest and Lexbor engines (fast HTML5 parser with CSS selectors).
Wordbook - Wordbook is a dictionary application built for GNOME.
html5lib - Standards-compliant library for parsing and serializing HTML documents and fragments in Python
ReadabilityAnalyserDE - A analyser of German text readability
untangle - Converts XML to Python objects
thesaurus_query.vim - Multi-language Thesaurus Query and Replacement plugin for Vim/NeoVim
bleach - Bleach is an allowed-list-based HTML sanitizing library that escapes or strips markup and attributes
word_forms - Accurately generate all possible forms of an English word e.g "election" --> "elect", "electoral", "electorate" etc.
pyquery - A jquery-like library for python