python-obj-system
pydantic
python-obj-system | pydantic | |
---|---|---|
3 | 167 | |
62 | 18,854 | |
- | 3.3% | |
2.1 | 9.8 | |
9 months ago | 8 days ago | |
Python | Python | |
MIT License | MIT License |
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python-obj-system
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95% of problems once solved by metaclasses can be solved by __init_subclass__
i have a text on the python object system and metaclasss here https://github.com/MoserMichael/python-obj-system/blob/maste... as part of my free python course https://github.com/MoserMichael/python-obj-system/blob/maste...
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tqdm (Python)
it may be easy to get going with python, but it takes a non trivial amount of time to understand, what is going on. I have a advanced python3 course https://github.com/MoserMichael/python-obj-system that explains some of the more advanced concepts.
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advanced Python course
The course material is released under the MIT license, The course is written in the literate programming style. A python program exists for each lesson, it is run, and it's output is the markdown text that makes up the text of the lesson. The code and output of each python snippet is rendered as part of the lesson. This gives me some confidence in the presented material. The literate programming package is also presented in the github repository of the course.
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?
pqdm - Comfortable parallel TQDM using concurrent.futures
Cerberus - Lightweight, extensible data validation library for Python
rich - Rich is a Python library for rich text and beautiful formatting in the terminal.
nexe - 🎉 create a single executable out of your node.js apps
pyrrole - Role system for Python3
msgspec - A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML
chime - 🎵 Python sound notifications made easy
SQLAlchemy - The Database Toolkit for Python
subb - a wrapper module for python subprocess
sqlmodel - SQL databases in Python, designed for simplicity, compatibility, and robustness.
Task - A task runner / simpler Make alternative written in Go
mypy - Optional static typing for Python