westandskif

20 ms·

1.
Show HN: Pydantic-based RPC with autogenerated TypeScript client(synclane.readthedocs.io)
1 points by westandskif 3y ago|0 comments
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Show HN: Table data stream processing – Python convtools(convtools.readthedocs.io)
1 points by westandskif 5y ago|0 comments
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Show HN: Everyday-use client-side map-aware Arch Linux mirror ranking tool(github.com)
2 points by westandskif 6y ago|0 comments
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by westandskif 6y ago
https://github.com/itechart-almakov/convtools/
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Show HN: Python convtools library – code generation for data transforms(convtools.readthedocs.io)
8 points by westandskif 6y ago|2 comments
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by westandskif 6y ago
supports aggregations, joins + now optional collection items
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by westandskif 7y ago
Just to add my previous answer: the trivial native python equivalent doesn't have the same functionality, because it consumes data iterator 3 times in your case, while convtools would consume it only once.
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by westandskif 7y ago
Re: whether it's been a problem in my experience -- sort of - yes So now I'm doing my best to observe: PEP-20 the 2nd commandment with the hope that I'm not violating the 1st commandment badly :) https://www.python
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by westandskif 7y ago
In terms of the implementation, it's kind of trivial to implement the "magic", but it would be both confusing and inconsistent, see below. e.g. imagine a case where you'd want to call datetime.strptime, partially initial
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by westandskif 7y ago
We would need to bring the whole python into it :/
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by westandskif 7y ago
Pandas are great, but I had a few cases where I had frustrating experience -- dealing with Decimal & float columns is a pain (missing data without any signs when using both in calculations). However this was not the reason why I needed
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by westandskif 7y ago
It's not possible to skip the code generation part because a resulting converter is always compiled from the code written under the hood. Could you please share what is your concern about this? I'd really like to better understand
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by westandskif 7y ago
On exception it populates linecache so that tracebacks are normal and you can debug it normally with pdb post-mortem debugging - https://docs.python.org/3/library/pdb.html#pdb.post_mortem Nothing else at the momen
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by westandskif 7y ago
Thank you! I will add join and group_by examples shortly
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by westandskif 7y ago
oh, thanks, I'll add links to cheatsheet and quickstart pages to the README, it really makes sense! As for the magic-stuff, I was contemplating designing the API with this approach, but I changed my mind because it would be difficult t
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by westandskif 7y ago
thank you very much for the feedback! this is very valuable! :) Regarding the README, I'll improve it within the next few days. As for the approach, the main assumption was that everything is simple as long as you deal with expressions
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Show HN: ConvTools – generates Python code of conversions, aggregations, joins(github.com)
67 points by westandskif 7y ago|25 comments