6× faster binary search: from compiled code to mechanical sympathy
The post shows how a compiled binary-search bucketization routine used from Python can get much faster by aligning the algorithm with how modern CPUs actually execute code. It walks through branchless execution, removing bounds-check overhead, and enabling SIMD-friendly auto-vectorization to make the final version about 6x faster than the original.
https://pythonspeed.com/articles/branchless-binary-search/
The post shows how a compiled binary-search bucketization routine used from Python can get much faster by aligning the algorithm with how modern CPUs actually execute code. It walks through branchless execution, removing bounds-check overhead, and enabling SIMD-friendly auto-vectorization to make the final version about 6x faster than the original.
https://pythonspeed.com/articles/branchless-binary-search/
Python⇒Speed
8× faster binary search: from compiled code to mechanical sympathy
Even once you’re using compiled code, there are still opportunities for faster performance by avoiding fighting the CPU.
LLM-as-a-Verifier: A General-Purpose Verification Framework
The paper introduces LLM-as-a-Verifier, a training-free framework that improves agentic task evaluation by using continuous scores from scoring-token logits instead of discrete judge ratings. It shows that scaling verification through finer score granularity, repeated evaluation, and criteria decomposition improves accuracy across coding, robotics, and medical benchmarks, while also prov...
https://arxiv.org/pdf/2607.05391
The paper introduces LLM-as-a-Verifier, a training-free framework that improves agentic task evaluation by using continuous scores from scoring-token logits instead of discrete judge ratings. It shows that scaling verification through finer score granularity, repeated evaluation, and criteria decomposition improves accuracy across coding, robotics, and medical benchmarks, while also prov...
https://arxiv.org/pdf/2607.05391
codex-lb
Load balancer for ChatGPT accounts. Pool multiple accounts, track usage, manage API keys, view everything in a dashboard.
https://github.com/Soju06/codex-lb
Load balancer for ChatGPT accounts. Pool multiple accounts, track usage, manage API keys, view everything in a dashboard.
https://github.com/Soju06/codex-lb
GitHub
GitHub - Soju06/codex-lb: Codex/ChatGPT multiple account load balancer & proxy with usage tracking, dashboard, and OpenCode-compatible…
Codex/ChatGPT multiple account load balancer & proxy with usage tracking, dashboard, and OpenCode-compatible endpoints - Soju06/codex-lb
Stop Checking for None Everywhere
The video explains why overusing None makes code harder to reason about by forcing checks, validation, and defensive handling throughout the system. It shows practical alternatives like better defaults, fail-fast validation, explicit state modeling, and the Null Object pattern to keep uncertainty at the edges and simplify core logic.
https://www.youtube.com/watch?v=h8ZwhU3PpVw
The video explains why overusing None makes code harder to reason about by forcing checks, validation, and defensive handling throughout the system. It shows practical alternatives like better defaults, fail-fast validation, explicit state modeling, and the Null Object pattern to keep uncertainty at the edges and simplify core logic.
https://www.youtube.com/watch?v=h8ZwhU3PpVw
YouTube
Stop Checking for None Everywhere
🧱 Build software that lasts. Join the Software Design Mastery waiting list → https://arjan.codes/mastery.
'None' seems harmless at first. But once it starts spreading through your codebase, every function needs more checks, more validation, and more defensive…
'None' seems harmless at first. But once it starts spreading through your codebase, every function needs more checks, more validation, and more defensive…
💩1
20 itertools functions, sorted by how often you'd actually reach for them (not the docs order)
https://www.reddit.com/r/Python/comments/1uyervv/20_itertools_functions_sorted_by_how_often_youd/
https://www.reddit.com/r/Python/comments/1uyervv/20_itertools_functions_sorted_by_how_often_youd/
Reddit
From the Python community on Reddit
Explore this post and more from the Python community
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Django: introducing django-orjson
The post introduces django-orjson, a new package that gives Django and Django REST Framework drop-in replacements powered by the faster Rust-based orjson library. It also points to a Django proposal for pluggable JSON backends, which could make faster JSON serialization and deserialization easier to adopt across Django itself.
https://adamj.eu/tech/2026/07/15/introducing-django-orjson/
The post introduces django-orjson, a new package that gives Django and Django REST Framework drop-in replacements powered by the faster Rust-based orjson library. It also points to a Django proposal for pluggable JSON backends, which could make faster JSON serialization and deserialization easier to adopt across Django itself.
https://adamj.eu/tech/2026/07/15/introducing-django-orjson/
adamj.eu
Django: introducing django-orjson - Adam Johnson
Just as cars painted red are known to be faster, libraries implemented in Rust are also known to be faster. Today’s example is orjson, a Rusty replacement for Python’s built-in json module, boasting 10x faster serialization and 2x faster deserialization.