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News & links about Python programming. https://pythonhub.dev/

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Building a fast HTML toolkit in C for Python How turbohtml builds a fast HTML toolkit in C for Python: SWAR, SIMD, zero-copy, interned atoms, IDNA, LTO/PGO, and honest benchmarking, 3-22x faster. https://bernat.tech/posts/blazing-fast-html-parser/

huggingface / speech-to-speech Build local voice agents with open-source models https://github.com/huggingface/speech-to-speech

How Airflow is using AI to make data engineering more resilient, not more complex The post explains how Airflow is adding AI-assisted reliability features that detect schema drift, resume long-running jobs from saved state, and classify failures using team runbooks. It shows AI being used inside data infrastructure rather than as an app layer, making pipelines more self-healing without forcing data engineers to rebuild their workflows around agents. https://blog.dataengineerthings.org/how-airflow-is-using-ai-to-make-data-engineering-more-resilient-not-more-complex-36ff44fd8df7

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/

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/

GeoSQL Turn Claude/Codex into geospatial analytics agent. https://github.com/dekart-xyz/geosql

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

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

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

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/

neuro-san-studio A playground for neuro-san. https://github.com/cognizant-ai-lab/neuro-san-studio

An Intro to Spiel – Creating Presentations in Your Terminal with Python The post introduces Spiel, an archived Python package that uses Rich to create and run slide presentations directly inside the terminal. It walks through installing Spiel, running the demo, and building simple terminal-based slides with Deck, Slide, decorators, and keyboard navigation. https://blog.pythonlibrary.org/2026/07/10/an-intro-to-spiel-creating-presentations-in-your-terminal-with-python/

Mellea Mellea is a library for writing generative programs. https://github.com/generative-computing/mellea

magic-extractor Universal Windows extraction tool that detects unknown files and routes them to the right bundled extractor. https://github.com/xchwarze/magic-extractor

E-- – A language you dial between English and Python https://github.com/frmoded/e--

Needle 26m function call model that runs on incredibly small devices. https://github.com/cactus-compute/needle

Unpopular opinion: I find it counterproductive to shorten function and variable names https://www.reddit.com/r/Python/comments/1v1102x/unpopular_opinion_i_find_it_counterproductive_to/

Python Hub Weekly Digest for 2026-07-19 https://pythonhub.dev/digest/2026-07-19/

TabFM TabFM (Tabular Foundation Model) is a scikit-learn compatible tabular foundation model. It allows you to perform zero-shot classification and regression on tabular datasets with mixed column types out-of-the-box. https://github.com/google-research/tabfm

Celery on AWS ECS - Complete Guide The post explains why running Celery on AWS ECS can cause lost, delayed, duplicated, or never-completed tasks due to ECS shutdown behavior, Celery defaults, prefetching, and timeout edge cases. It recommends safer production settings, shorter/idempotent task design, fan-out or batching, RabbitMQ on Amazon MQ, and Redis-based locking to make Celery workers more reliable on ECS. https://jangiacomelli.com/blog/celery-on-aws-ecs/