peps
pydantic
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peps | pydantic | |
---|---|---|
36 | 167 | |
4,133 | 18,617 | |
1.5% | 4.3% | |
9.8 | 9.8 | |
3 days ago | 3 days ago | |
reStructuredText | Python | |
- | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
peps
- PEP 722: Python dependencies for single-file scripts
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Getting started with the Mojo programming language
If you have suggestions that could improve the Python experience, consider proposing these through the Python Enhancement Proposal (PEP) process. The Mojo team actively encourages this, as it views Mojo as a new member of the Python family.
- PEP 684 was accepted – Per-interpreter GIL in Python 3.12
- Disallow import * for your Python package
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Ask HN: Just Finished Stroustrup's 'Practice and Principles'. What Next?
after 1-6, should have a good idea of what type of documentation / coding standards / tools / levels of abstraction want to have/see for a projects source code/deliverable. :-)
[1] : http://github.com/Blackgu/ebooks/blob/master/ebooks/2012-2-1...
[2] : http://peps.python.org
[3] http://medium.com/codex/say-goodbye-to-loops-in-python-and-w...
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Don't carelessly rely on fixed-size unsigned integers overflow
Yet development is carried via consensus between developers and users, there are places where users come to discuss thinks and ask questsion, there are place where resolutions are described in a POSITA-understandable terms and so on.
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Show HN: Python framework is faster than Golang Fiber
Oh, I have a pretty fresh news for you.
https://github.com/python/peps/pull/2955
- PEP703 Making the Global Interpreter Lock Optional in CPython
- PEP 703: Making the Global Interpreter Lock Optional in CPython
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Are there any published articles about Python that I can reference?
You mean like PEPs? https://peps.python.org
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?
materials - Bonus materials, exercises, and example projects for our Python tutorials
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msgspec - A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML
DIPs - D Improvement Proposals
SQLAlchemy - The Database Toolkit for Python
faster-cpython - How to make CPython faster.
sqlmodel - SQL databases in Python, designed for simplicity, compatibility, and robustness.
MLStyle.jl - Julia functional programming infrastructures and metaprogramming facilities
mypy - Optional static typing for Python