birdseye
pydantic
birdseye | pydantic | |
---|---|---|
3 | 167 | |
1,634 | 18,733 | |
- | 2.7% | |
2.4 | 9.8 | |
7 months ago | 2 days ago | |
JavaScript | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
birdseye
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Show HN: A 100% free and interactive Python course for coding beginners
> Is there any way for users to construct their own multiple stage tutorials?
I really hope some kind of GUI to do that can exist one day, but it's definitely a complicated feature that I'd need help from contributors to build. Same for graphical output.
> (It looks like we can do single questions)
I think you're talking about the question wizard. That's for helping people to write good quality questions about their own struggles to post on StackOverflow and similar sites. It's not for making 'challenges' for others to solve.
> Incredibly generous of you to make it open source!
Thank you! I'm really trying to improve the state of education and make the world a better place. I hope that in addition to directly helping users, I can inspire other educators, raise the bar, and help them build similar products. To this end, futurecoder is powered by many open source libraries that I've created which are designed to also be useful in their own right:
Debuggers: these are integrated in the site but also usable in any environment:
- https://github.com/alexmojaki/birdseye
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How much time do you spend debugging?
u/Immediate_Macaron496 you should try birdseye - https://github.com/alexmojaki/birdseye
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Useful Python Modules for us
pdbpp: Improved pdb boltons: assorted python addtions twisted: event driven networking framework sorcery: Dark magic in python, things know where+how they are being called, helps reducing boilerplate sh: Better alternative for subprocess module, much more pythonic taskipy: npm run scipt_name like functionality snoop: pdb lite, record+replay function steps birdseye: graphical debugger remote-pdb: easy pdb from inside containers typer: wrapper around click for simpler code for CLIs arrow: Always TZ aware datetimes, plus more features more-itertools: more functions for iterators pydantic: data validation + dataclasses loguru: better logging notifiers: sending notifications from python
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?
pyodide-worker-runner
Cerberus - Lightweight, extensible data validation library for Python
cheap_repr - Better version of repr/reprlib for short, cheap string representations in Python
nexe - 🎉 create a single executable out of your node.js apps
sync-message
msgspec - A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML
executing - Get information about what a Python frame is currently doing, particularly the AST node being executed
SQLAlchemy - The Database Toolkit for Python
python_runner - Helper for running python code indirectly
sqlmodel - SQL databases in Python, designed for simplicity, compatibility, and robustness.
snoop - A powerful set of Python debugging tools, based on PySnooper
mypy - Optional static typing for Python