mwparserfromhell
parquet-wasm
mwparserfromhell | parquet-wasm | |
---|---|---|
5 | 6 | |
708 | 472 | |
- | - | |
6.6 | 9.0 | |
18 days ago | 4 days ago | |
Python | Rust | |
MIT License | Apache License 2.0 |
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mwparserfromhell
- FLaNK AI Weekly for 29 April 2024
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Processing Wikipedia Dumps With Python
There's also https://github.com/earwig/mwparserfromhell, if you don't want to roll your own.
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[Python] How can I clean up Wikipedia's XML backup dump to create dictionaries of commonly used words for multiple languages?
In particular what you're looking at is not XML but wikitext. I found a discussion on stackoverflow about solving the same problem of getting text from wikitext. Seems like the most promising solution in Python since you already have the dump is to run each page through mwparserfromhell. According to the top stackoverflow answer you could use something like
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How can I clean up Wikipedia's XML backup dump to create dictionaries of commonly used words for multiple languages?
Thank you so much! I was actually talking about the markup language within the text. Turns out it's proprietary to WikiMedia and user lowerthansound kindly suggested I use this: https://github.com/earwig/mwparserfromhell
parquet-wasm
- FLaNK AI Weekly for 29 April 2024
- Parquet-WASM: Rust-based WebAssembly bindings to read and write Parquet data
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Goodbye, Node.js Buffer
nodejs-polars is node-specific and uses native FFI. polars can be compiled to Wasm but doesn't yet have a js API out of the box.
As for the fastest way to serialize data to Pandas data to the browser, you should use Parquet; it's the fastest to write on the Python side and read on the JS side, while also being compressed. See https://github.com/kylebarron/parquet-wasm (full disclosure, I wrote this)
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Rust 1.63.0
I'm building WebAssembly bindings to existing Rust libraries [0] and lower-dependency geospatial tools [1]. Rust makes it very easy to bind rust code to both WebAssembly and Python. And by avoiding some large C geospatial dependencies we can get reliable performance in both wasm and Python using the exact same codebase.
[0]: https://github.com/kylebarron/parquet-wasm
[1]: https://github.com/kylebarron/geopolars
- Why isn’t there a decent file format for tabular data?
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Recommendations when publishing a WASM library
Looks to be a great resource. I've been working on a WASM implementation of reading and writing Apache Parquet [0] and it's been difficult being new to WASM to find the best way of distributing the WASM that works on Node and through bundlers like Webpack.
[0]: https://github.com/kylebarron/parquet-wasm
What are some alternatives?
wikitextparser - A Python library to parse MediaWiki WikiText
datasette-stripe - A web SQL interface to your Stripe account using Datasette.
archwiki - MediaWiki used on Arch Linux websites (read-only mirror)
quickjs-emscripten - Safely execute untrusted Javascript in your Javascript, and execute synchronous code that uses async functions
WiktionaryParser - A Python Wiktionary Parser
transmitic - Encrypted, peer to peer, file transfer program :: https://discord.gg/tRT3J6T :: https://www.reddit.com/r/transmitic/ :: https://twitter.com/transmitic
wikiteam - Tools for downloading and preserving wikis. We archive wikis, from Wikipedia to tiniest wikis. As of 2023, WikiTeam has preserved more than 350,000 wikis.
geopolars - Geospatial extensions for Polars
pywikibot - A Python library that interfaces with the MediaWiki API. This is a mirror from gerrit.wikimedia.org. Do not submit any patches here. See https://www.mediawiki.org/wiki/Developer_account for contributing.
odiff - The fastest pixel-by-pixel image visual difference tool in the world.
isbntools - python app/framework for 'all things ISBN' including metadata, descriptions, covers...
rson - Rust Object Notation