xlcalculator
pydantic
xlcalculator | pydantic | |
---|---|---|
3 | 167 | |
107 | 18,733 | |
- | 2.1% | |
4.4 | 9.8 | |
3 months ago | 1 day ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT License |
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xlcalculator
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Array Languages vs. the Curse of the Spreadsheet
I know of some Python libraries that do something like this:
https://github.com/bradbase/xlcalculator
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Python Type Hints Are Turing Complete
Looks like it's xlcalculator:
https://github.com/bradbase/xlcalculator#addingregistering-e...
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access excel sheet programatically
Kind of. There are a few libraries that attempt to give full Excel formula functionality in Python, but they are not complete. That is to say, they don't work on all formulae, and certain newer Excel feature (like array formulae) are unsupported. These are: pycel, koala, xlcalculator.
pydantic
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Advanced RAG with guided generation
First, note the method prefix_allowed_tokens_fn. This method applies a Pydantic model to constrain/guide how the LLM generates tokens. Next, see how that constrain can be applied to txtai's LLM pipeline.
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utype VS pydantic - a user suggested alternative
2 projects | 15 Feb 2024
utype is a concise alternative of pydantic with simplified parameters and usages, supporting both sync/async functions and generators parsing, and capable of using native logic operators to define logical types like AND/OR/NOT, also provides custom type parsing by register mechanism that supports libraries like pydantic, attrs and dataclasses
- Pydantic v2 ruined the elegance of Pydantic v1
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Ask HN: Pydantic has too much deprecation. Why is it popular?
I like some of the changes from v1 to v2. But then you have something like this [0] removed from the library without proper documentation or replacement, resulting in ugly workarounds in the link that wont' work properly.
[0]: https://github.com/pydantic/pydantic/discussions/6337
- OpenAI uses Pydantic for their ChatCompletions API
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🍹GinAI - Cocktails mixed with generative AI
The easiest implementation I found was to use a PyDantic class for my target schema — and use that as a parameter for the method call to “ChatCompletion.create()”. Here’s a fragment of the GinAI Python classes used.
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FastStream: Python's framework for Efficient Message Queue Handling
Also, FastStream uses Pydantic to parse input JSON-encoded data into Python objects, making it easy to work with structured data in your applications, so you can serialize your input messages just using type annotations.
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Introducing FastStream: the easiest way to write microservices for Apache Kafka and RabbitMQ in Python
Pydantic Validation: Leverage Pydantic's validation capabilities to serialize and validate incoming messages
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Cannot get Langchain to work
Not sure if it is exactly related, but there is an open issue on Github for that exact message.
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FastAPI 0.100.0:Release Notes
Well the performance increase is so huge because pydantic1 is really really slow. And for using rust, I'd have expected more tbh…
I've been benchmarking pydantic v2 against typedload (which I write) and despite the rust, it still manages to be slower than pure python in some benchmarks.
The ones on the website are still about comparing to v1 because v2 was not out yet at the time of the last release.
pydantic's author will refuse to benchmark any library that is faster (https://github.com/pydantic/pydantic/pull/3264 https://github.com/pydantic/pydantic/pull/1525 https://github.com/pydantic/pydantic/pull/1810) and keep boasting about amazing performances.
On pypy, v2 beta was really really really slow.
What are some alternatives?
pycel - A library for compiling excel spreadsheets to python code & visualizing them as a graph
Cerberus - Lightweight, extensible data validation library for Python
xlwings - xlwings is a Python library that makes it easy to call Python from Excel and vice versa. It works with Excel on Windows and macOS as well as with Google Sheets and Excel on the web.
nexe - 🎉 create a single executable out of your node.js apps
koala - Transpose your Excel calculations into python for better performances and scaling.
msgspec - A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML
json-parser-in-typescript-very-bad-idea-please-dont-use - JSON Parser written entirely in TypeScript's type system
SQLAlchemy - The Database Toolkit for Python
json-parser-in-typescript-ver
sqlmodel - SQL databases in Python, designed for simplicity, compatibility, and robustness.
di - Pythonic dependency injection
mypy - Optional static typing for Python