pydantic
peps
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pydantic | peps | |
---|---|---|
166 | 36 | |
18,226 | 4,104 | |
4.2% | 1.7% | |
9.8 | 9.8 | |
1 day ago | 1 day ago | |
Python | reStructuredText | |
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.
pydantic
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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
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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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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.
- Pydantic 2.0
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[DISCUSSION] What's your favorite Python library, and how has it helped you in your projects?
As for the most utilized and still loved library, that would probably be pydantic, it helps declaring types so convenient - be it dto's, models or just complex arguments - and plays nice with bunch of other libraries from it's own ecosystem.
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popularity behind pydantic
I did read this ... Pydantic Docs.
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Guide to Serverless & Lambda Testing — Part 2 — Testing Pyramid
Schema validations logic — I use Pydantic for input validation and schema validation (boto responses, API responses, input validation, etc.) use cases. The Pydantic schema can contain type and value constraint checks or even more complicated logic with the custom validator code.
peps
- PEP 722: Python dependencies for single-file scripts
- PEP 684 was accepted – Per-interpreter GIL in Python 3.12
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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.
- How to contact PEP 8 authors?
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The domain for the Python Requests library is expired
- PEP 568 – Generator-sensitivity for Context Variables
(and that's as far as I cared to look - unfortunately https://peps.python.org/ lists the authors by last name and there are multiple people named "Smith")
So it seems he has in fact "done much".
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Ask HN: Best way to find out when features were added to languages?
It's going to depend on which programming language you are examining, if that programming language is standardized, and how much of the development process is publicly available (open development process vs. proprietary languages with closed source development).
For Python, it looks like everything is on GitHub:
https://github.com/python/cpython
https://github.com/python/peps
It might take some exploring depending on what you are trying to find (over 100k commits in the git repo), but it looks like it is all there going back to Python 2.0 and earlier.
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Python 101: The Ultimate Python Tutorial For Beginners
Bibliography: Guido Van Rossum.(n.d.).AZQuotes.com. Retrieved April 23, 2022, from AZQuotes.com Web site: https://www.azquotes.com/author/46455-Guido_van_Rossum Python(programming language) - Wikipedia: https://en.m.wikipedia.org Python.Net Tutorial For beginners. Zen of Python: https://peps.python.org
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What is the pythonic way of running data through a sequence of functions?
If you ask "pythonic" look to PEP. But also I feel your forgetting about methods, the functions of objects/types. For example
What are some alternatives?
Cerberus - Lightweight, extensible data validation library for Python
nexe - 🎉 create a single executable out of your node.js apps
msgspec - A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML
SQLAlchemy - The Database Toolkit for Python
sqlmodel - SQL databases in Python, designed for simplicity, compatibility, and robustness.
mypy - Optional static typing for Python
pyparsing - Python library for creating PEG parsers [Moved to: https://github.com/pyparsing/pyparsing]
phonenumbers - Python port of Google's libphonenumber
dacite - Simple creation of data classes from dictionaries.
Lark - Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.
beanie - Asynchronous Python ODM for MongoDB
beartype - Unbearably fast near-real-time hybrid runtime-static type-checking in pure Python.