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What Python's asyncio primitives get wrong about shared state
100 days 100 iot project with Micropython
You’ve Been Underusing Dataclasses (These Tricks Are Wild)
The video demonstrates seven powerful, lesser-known techniques using Python dataclasses, including automatic class registration, lightweight validation, cached derived values, and context manager patterns. It also shows practical uses such as CLI generation and explains advanced features like InitVar, highlighting how dataclasses can enable cleaner and more expressive Python designs.
Validating data with pointblank in python
One of the most common tasks of any organization is reviewing data to ensure that it is accurate and does not contain errors. Commonly, this is done by producing graphs or summary information like a median or mean and confirming that it looks reasonable. Pointblank is a newer tool that allows you to really dig into a dataset and task assumptions in a robust and reproducible manner.
Designing for Model Swaps
When LLM providers ship breaking changes, a poor architecture turns a config tweak into a 400-line PR. This post introduces seam-driven design - five narrow interfaces (provider, prompt, tools, config, observability) each independently swappable - illustrated with a working FastAPI + LangChain reference app, a practical checklist, and two hands-on drills readers can run immediate
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github / awesome-copilot
Community-contributed instructions, prompts, and configurations to help you make the most of GitHub Copilot.
You’ve Been Underusing Dataclasses (These Tricks Are Wild)
The video demonstrates seven powerful, lesser-known techniques using Python dataclasses, including automatic class registration, lightweight validation, cached derived values, and context manager patterns. It also shows practical uses such as CLI generation and explains advanced features like InitVar, highlighting how dataclasses can enable cleaner and more expressive Python designs.
python-apple-fm-sdk
Python bindings for access to the on-device model at the core of Apple Intelligence through the Foundation Models framework.
MicroGPT explained interactively
Walk through Karpathy's 200-line GPT from scratch. Tokenize names into integers, watch softmax convert scores to probabilities, step through backpropagation on a computation graph, explore attention heatmaps, and see a tiny model learn to generate plausible names.
Python Essentials for AI Agents – Tutorial
This Python course will help you master the technical stack behind autonomous intelligence. This course is designed to take you from the core syntax of Python through the complexities of data handling and API integration, culminating in the deployment of sophisticated Large Language Models. You will learn to write code and to architect systems that can reason, use tools, and solve real-w...
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Project by Ruslan Keba. Since 2012. Powered by Python. Made in 🇺🇦Ukraine.