python-date-parser
A Rust-backed Python library for fast fuzzy parsing of heterogeneous date strings, with bulk-list and Polars APIs that avoid Python-level iteration and can outperform pure-Python alternatives by orders of magnitude.
https://github.com/SEIU-Tech/python-date-parser
A Rust-backed Python library for fast fuzzy parsing of heterogeneous date strings, with bulk-list and Polars APIs that avoid Python-level iteration and can outperform pure-Python alternatives by orders of magnitude.
https://github.com/SEIU-Tech/python-date-parser
GitHub
GitHub - SEIU-Tech/python-date-parser: Perform fast fuzzy parsing of dates in varying formats
Perform fast fuzzy parsing of dates in varying formats - SEIU-Tech/python-date-parser
Building a small Django app with help from AI
This tutorial demonstrates how to build a basic Django idea-voting application using AI as an interactive assistant rather than an autonomous developer. It emphasizes using targeted prompts to generate boilerplate, explain error messages, write tests, and catch edge cases like database race conditions while keeping architectural decisions in the developer’s hands.
https://codewithstein.com/building-a-small-django-app-with-help-from-ai/
This tutorial demonstrates how to build a basic Django idea-voting application using AI as an interactive assistant rather than an autonomous developer. It emphasizes using targeted prompts to generate boilerplate, explain error messages, write tests, and catch edge cases like database race conditions while keeping architectural decisions in the developer’s hands.
https://codewithstein.com/building-a-small-django-app-with-help-from-ai/
Codewithstein
Building a small Django app with help from AI | Code With Stein
I've been using AI more and more when I'm programming.
Speculative Decoding: The Art of Guessing Well
Speculative decoding lets smaller models guess several tokens ahead while the larger model verifies them in parallel, reducing LLM inference latency without changing the final sampling distribution. From the acceptance math to Gumbel coupling, EAGLE-3, and multi-token prediction, the piece shows how increasingly sophisticated drafters make those guesses accurate enough to deliver real sp...
https://astralord.github.io/posts/speculative-decoding-the-art-of-guessing-well/
Speculative decoding lets smaller models guess several tokens ahead while the larger model verifies them in parallel, reducing LLM inference latency without changing the final sampling distribution. From the acceptance math to Gumbel coupling, EAGLE-3, and multi-token prediction, the piece shows how increasingly sophisticated drafters make those guesses accurate enough to deliver real sp...
https://astralord.github.io/posts/speculative-decoding-the-art-of-guessing-well/
AstraBlog
Speculative Decoding: The Art of Guessing Well
Large Language Models spend most of their decoding time not computing, but waiting: every new token requires reading all of the model weights from memory, only to multiply them by a single vector. What if the model could check several tokens for the price…
loopinfo: let your for loop know if it is on the first or last item
Python loops do not know where they are. loopinfo adds loop.first, loop.last, loop.index, loop.count, previous, next and more.
https://pypi.org/project/loopinfo/
Python loops do not know where they are. loopinfo adds loop.first, loop.last, loop.index, loop.count, previous, next and more.
https://pypi.org/project/loopinfo/
PyPI
loopinfo
Know where you are in a for-loop: first, last, index, count, previous and next, like Jinja's loop object.
Quicksand
Quicksand is an async Python API for launching, controlling, snapshotting, and rolling back QEMU virtual machines to provide isolated sandboxes for AI agents without requiring Docker or root privileges.
https://github.com/microsoft/quicksand
Quicksand is an async Python API for launching, controlling, snapshotting, and rolling back QEMU virtual machines to provide isolated sandboxes for AI agents without requiring Docker or root privileges.
https://github.com/microsoft/quicksand
GitHub
GitHub - microsoft/quicksand: Quickly sandbox your AI agent.
Quickly sandbox your AI agent. Contribute to microsoft/quicksand development by creating an account on GitHub.
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Python vs Go: A Practical Comparison for Developers
Python offers a huge ecosystem, especially for AI, data, and scripting, while Go trades some flexibility for faster execution, simpler deployment, and built-in concurrency. This post compares where each language fits best today, including performance, typing, tooling, developer adoption, and why many teams end up using both rather than choosing one outright.
https://blog.jetbrains.com/go/2026/10/13/python-vs-go/
Python offers a huge ecosystem, especially for AI, data, and scripting, while Go trades some flexibility for faster execution, simpler deployment, and built-in concurrency. This post compares where each language fits best today, including performance, typing, tooling, developer adoption, and why many teams end up using both rather than choosing one outright.
https://blog.jetbrains.com/go/2026/10/13/python-vs-go/
The JetBrains Blog
Python vs Go: A Practical Comparison for Developers - The JetBrains Blog
We look at how Python and Go differ, what surveys tell us about the devs who use them, and what interviews say about the trade-offs between them.
BOOTH
A lightweight, zero-dependency Python checkpoint layer for structured LLM output reliability.
https://github.com/Vedantgitbot/booth
A lightweight, zero-dependency Python checkpoint layer for structured LLM output reliability.
https://github.com/Vedantgitbot/booth
GitHub
GitHub - Vedantgitbot/booth: A lightweight, zero-dependency Python checkpoint layer for structured LLM output reliability.
A lightweight, zero-dependency Python checkpoint layer for structured LLM output reliability. - Vedantgitbot/booth
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Python 3.15's best new features
Trey Hunner's opinion on which Python 3.15 features will be most exciting for the average Python user.
https://www.pythonmorsels.com/python315/
Trey Hunner's opinion on which Python 3.15 features will be most exciting for the average Python user.
https://www.pythonmorsels.com/python315/
Pythonmorsels
Python 3.15's best new features
Python 3.15 includes a UTF-8 default encoding, explicit lazy imports, * unpacking in comprehensions, a new sampling profiler, sentinel, frozendict, and more!
How I Found a $90,000 Remote Code Execution Vulnerability in Google
A leaked Flask session signing secret let an attacker forge session cookies containing malicious pickled data, turning OAuth state handling into unauthenticated remote code execution on several Google developer sites. The writeup shows how combiningpicklewith client-controlled session data can turn a secret leak into code execution, and why untrusted data should never cross a pickle dese...
https://simonkoeck.com/writeups/google-devsite-flask-session-pickle-rce
A leaked Flask session signing secret let an attacker forge session cookies containing malicious pickled data, turning OAuth state handling into unauthenticated remote code execution on several Google developer sites. The writeup shows how combiningpicklewith client-controlled session data can turn a secret leak into code execution, and why untrusted data should never cross a pickle dese...
https://simonkoeck.com/writeups/google-devsite-flask-session-pickle-rce
Simon Koeck
How I Found a $90,000 Remote Code Execution Vulnerability in Google | Simon Koeck
A Flask cookie on developers.google.com was signed with a secret it carried inside itself. Pulling that secret out turned a forged session into code execution across Google's developer sites.