Python Type Checker Comparison: Typing Spec Conformance
When you write typed Python, you expect your type checker to follow the rules of the language. But how closely do today's type checkers actually follow the Python typing specification? In this post, we look at what typing spec conformance means, how different type checkers compare, and what the conformance numbers don't tell you.
https://pyrefly.org/blog/typing-conformance-comparison/
When you write typed Python, you expect your type checker to follow the rules of the language. But how closely do today's type checkers actually follow the Python typing specification? In this post, we look at what typing spec conformance means, how different type checkers compare, and what the conformance numbers don't tell you.
https://pyrefly.org/blog/typing-conformance-comparison/
pyrefly.org
Python Type Checker Comparison: Typing Spec Conformance | Pyrefly
Learn what it means to conform to the Python typing spec, why it matters, and the conformance status of each type checker including Pyrefly, Ty, Pyright and Mypy.
Using Claude to fix PyPy3.11 test failures securely
This post describes using Claude to assist in fixing PyPy 3.11 test failures, with all generated changes run in a sandbox and verified locally. It highlights a practical workflow where AI suggests patches but humans validate results, enabling faster debugging without sacrificing safety.
https://pypy.org/posts/2026/03/using-claude-to-fix-pypy311-test-failures-securely.html
This post describes using Claude to assist in fixing PyPy 3.11 test failures, with all generated changes run in a sandbox and verified locally. It highlights a practical workflow where AI suggests patches but humans validate results, enabling faster debugging without sacrificing safety.
https://pypy.org/posts/2026/03/using-claude-to-fix-pypy311-test-failures-securely.html
PyPy
Using Claude to fix PyPy3.11 test failures securely
I got access to Claude Max for 6 months, as a promotional move Anthropic made
to Open Source Software contributors. My main OSS impact is as a maintainer for
NumPy, but I decided to see what claude-co
to Open Source Software contributors. My main OSS impact is as a maintainer for
NumPy, but I decided to see what claude-co
How we optimized Dash's relevance judge with DSPy
Dropbox used DSPy to turn prompt engineering for our relevance judge into a measurable, automated optimization loop, improving task performance, cost, and how reliably it works in production.
https://dropbox.tech/machine-learning/optimizing-dropbox-dash-relevance-judge-with-dspy
Dropbox used DSPy to turn prompt engineering for our relevance judge into a measurable, automated optimization loop, improving task performance, cost, and how reliably it works in production.
https://dropbox.tech/machine-learning/optimizing-dropbox-dash-relevance-judge-with-dspy
dropbox.tech
How we optimized Dash's relevance judge with DSPy
We used DSPy to turn prompt engineering for our relevance judge into a measurable, automated optimization loop, improving task performance, cost, and how reliably it works in production.
Would it have been better if Meta bought Astral.sh instead?
https://www.reddit.com/r/Python/comments/1ryglss/would_it_have_been_better_if_meta_bought_astralsh/
https://www.reddit.com/r/Python/comments/1ryglss/would_it_have_been_better_if_meta_bought_astralsh/
Reddit
From the Python community on Reddit
Explore this post and more from the Python community
Reinventing Python's AsyncIO
The post explores a redesign of Python’s async runtime, arguing that the current async/await and event-loop model adds unnecessary complexity, and proposing a simpler runtime where concurrency is handled automatically without explicit async syntax.The author experiments with a new runtime approach that can run async workloads 2–3.5× faster than traditional asyncio, suggesting Python’s co...
https://blog.baro.dev/p/reinventing-pythons-asyncio
The post explores a redesign of Python’s async runtime, arguing that the current async/await and event-loop model adds unnecessary complexity, and proposing a simpler runtime where concurrency is handled automatically without explicit async syntax.The author experiments with a new runtime approach that can run async workloads 2–3.5× faster than traditional asyncio, suggesting Python’s co...
https://blog.baro.dev/p/reinventing-pythons-asyncio
Fluxus by gi0baro
Reinventing Python's AsyncIO | Fluxus by gi0baro
My journey (so far) in rethinking Python's async code execution
Visitran
Build data transformation pipelines using Python with a visual IDE and AI assistant.
https://github.com/Zipstack/visitran
Build data transformation pipelines using Python with a visual IDE and AI assistant.
https://github.com/Zipstack/visitran
GitHub
GitHub - Zipstack/visitran: Modern, AI-native and agentic Pythonic data transformation platform.
Modern, AI-native and agentic Pythonic data transformation platform. - Zipstack/visitran
LiteLLM Python package compromised by supply-chain attack
https://github.com/BerriAI/litellm/issues/24512
https://github.com/BerriAI/litellm/issues/24512
GitHub
[Security]: CRITICAL: Malicious litellm_init.pth in litellm 1.82.8 — credential stealer · Issue #24512 · BerriAI/litellm
[LITELLM TEAM] - For updates from the team, please see: #24518 [Security]: CRITICAL: Malicious litellm_init.pth in litellm 1.82.8 PyPI package — credential stealer Summary The litellm==1.82.8 wheel...
The Hidden Mechanism Behind Clean Python APIs (Descriptor Deep Dive)
Descriptors define how Python resolves attribute access, explaining why values sometimes come from the instance, class, or elsewhere in non-obvious ways. Understanding descriptor rules enables cleaner, more reusable designs by giving you precise control over attribute behavior.
https://www.youtube.com/watch?v=7SUzTOkUVLY
Descriptors define how Python resolves attribute access, explaining why values sometimes come from the instance, class, or elsewhere in non-obvious ways. Understanding descriptor rules enables cleaner, more reusable designs by giving you precise control over attribute behavior.
https://www.youtube.com/watch?v=7SUzTOkUVLY
YouTube
The Hidden Mechanism Behind Clean Python APIs (Descriptor Deep Dive)
🧱 Build software that lasts. Join the Software Design Mastery waiting list → https://arjan.codes/mastery.
In this video, I explain what descriptors are, why attribute access in Python sometimes behaves in surprising ways, and how the descriptor rules determine…
In this video, I explain what descriptors are, why attribute access in Python sometimes behaves in surprising ways, and how the descriptor rules determine…
Build Your Own Openclaw - A step by step guide, using python
https://github.com/czl9707/build-your-own-openclaw
https://github.com/czl9707/build-your-own-openclaw
GitHub
GitHub - czl9707/build-your-own-openclaw: A step-by-step guide to build your own AI agent.
A step-by-step guide to build your own AI agent. Contribute to czl9707/build-your-own-openclaw development by creating an account on GitHub.
justx
A TUI command launcher built on top of just. Define recipes once, run them anywhere.
https://github.com/fpgmaas/justx
A TUI command launcher built on top of just. Define recipes once, run them anywhere.
https://github.com/fpgmaas/justx
GitHub
GitHub - fpgmaas/justx: A TUI command launcher built on top of just. Define recipes once, run them anywhere.
A TUI command launcher built on top of just. Define recipes once, run them anywhere. - fpgmaas/justx
agentscope-ai / ReMe
ReMe: Memory Management Kit for Agents - Remember Me, Refine Me.
https://github.com/agentscope-ai/ReMe
ReMe: Memory Management Kit for Agents - Remember Me, Refine Me.
https://github.com/agentscope-ai/ReMe
GitHub
GitHub - agentscope-ai/ReMe: ReMe: Memory Management Kit for Agents - Remember Me, Refine Me.
ReMe: Memory Management Kit for Agents - Remember Me, Refine Me. - agentscope-ai/ReMe