NVIDIA-AI-Blueprints / video-search-and-summarization
Suite of reference architectures for building GPU-accelerated vision agents and AI-powered video analytics applications.
github.com/NVIDIA-AI-Blue…
What types of exceptions should you catch?
The trickiest programming bugs are often caused by catching exceptions that you didn't mean to catch or handling exceptions in ways that obfuscate the actual error that's occurring. Which exceptions should you catch and which should you leave unhandled?
pythonmorsels.com/what-types-of-…
When Python manual wiring turns into copy-paste architecture
A small typed dependency injection approach for apps that outgrow copy-pasted constructors but do not need a full DI framework.
vshulcz.hashnode.dev/when-python-ma…
Shrink Your Python Container in One Command with SlimToolkit
Use SlimToolkit to shrink a Python container by half in one command. No Dockerfile changes. Walkthrough on a chatbot with common edge cases and fixes.
codecut.ai/shrink-python-…
Well, it finally happened: X/Twitter and its *not-at-all predictable* owner decided that posting via API should come with a price tag.
So for now, I’m hitting pause on automated posts here. Apparently, even bots need a subscription these days.
Good news: PythonHub isn’t going anywhere. We’re active on other platforms. Just head over to our website and pick the one that works best for you.
See you outside the paywall 🙂🇺🇦
Building a Python Library in 2026
So you want to build a Python library in 2026? Here's everything you need to know about the state of the art.
stephenlf.dev/blog/python-li…
Your Models Know Their Own Schema. Let Them Show You.
Django already knows every model in your project, every field, every relationship — down to the last on_delete. So why are you drawing it by hand?
jeffield.net/blog/your-mode…
Exploring Petabytes of the Night Sky — Jupyter Notebooks at NOIRLab’s Astro Data Lab Science Platform
The post shows how NOIRLab’s Astro Data Lab uses Jupyter notebooks to let astronomers explore and analyze petabytes of sky data directly in the browser, without local setup. It also highlights the value of notebooks for making large-scale astronomy workflows more interactive, reproducible, and accessible to researchers and students.
blog.jupyter.org/exploring-peta…
Dinobase
Dinobase is an agent-first data platform that syncs 100+ sources like APIs, databases, files, and MCP servers into SQL-ready tables with automatic data annotation.
github.com/DinobaseHQ/din…
Implementing MikroTik's Binary API Protocol in Python from Scratch
A deep dive into implementing MikroTik's proprietary RouterOS binary API protocol in Python — variable-length encoding, sentence-based messaging, and programmatic network infrastructure control. Zero dependencies, 137 lines.
joekarlsson.com/blog/implement…
Array API adoption: Performance wins across the ecosystem
Adopting the Array API standard lets major Python libraries run the same code across backends like NumPy, PyTorch, CuPy, and JAX, unlocking dramatic speedups with minimal user changes. The broader impact is a more interoperable scientific Python ecosystem where GPU acceleration and new hardware become accessible without rewriting entire libraries.
labs.quansight.org/blog/array-api…
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The Discovery Operating System for Matter Intelligence
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