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- Python Weekly (Issue 754 July 16 2026)
Python Weekly (Issue 754 July 16 2026)
Rahul Chaudhary
July 16, 2026
In partnership with
Welcome to issue 754 of Python Weekly. Let's get straight to the links this week.
100+ Claude Code hacks to ship code 10X faster
Top engineers at Anthropic and OpenAI say AI now writes 100% of their code.
If you're not using AI, you're spending 40 hours doing what they do in 4.
These 100+ Claude Code hacks fix that and help you ship 10x faster.
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News
PyData Global returns December 8–10, 2026, bringing together the worldwide open source scientific computing community for three days of talks and tutorials — fully virtual, so anyone, anywhere can join. Have something to share about Python, data science, machine learning, or open source tools? The CFP is open now through August 3, 2026. Submit your proposal now.
Articles, Tutorials and Talks
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.
An introduction to the concept of the Application Binary Interface (ABI), the various CPython ABIs, and the new abi3t stable ABI in Python 3.15.
The post explains how Patreon, which sends billions of fan notifications each year for posts, livestreams, and other creator actions, rebuilt its legacy notification system around a horizontally scalable fanout layer. It shows how the redesign improved large-creator latency, isolated push, in-app, and email delivery, and made a 200+ notification migration easier through factory abstractions, observability, and AI-assisted tooling.
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.
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 providing reward signals for RL and progress tracking.
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.
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.
The post explains how CPython 3.15’s JIT uses a low-overhead interpreter profiling mode based on swapping dispatch tables instead of running a separate profiling interpreter or adding branches to the normal interpreter. It shows how this “dual dispatch” design lets Python record execution traces for JIT compilation with much lower overhead, while raising the tradeoff between performance gains and added interpreter complexity.
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.
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.
The post explains why database commits and transactions should be owned only by the DB access layer, because hidden commits and leaking DB models can silently break atomicity or lose data. It shows how to enforce those boundaries with AST tests, flake8 rules, and a narrow LLM review step to catch DB models being returned where domain models should be used.
Interesting Projects, Tools, and Libraries
Mellea is a library for writing generative programs.
A playground for neuro-san.
Load balancer for ChatGPT accounts. Pool multiple accounts, track usage, manage API keys, view everything in a dashboard.
Universal Windows extraction tool that detects unknown files and routes them to the right bundled extractor.
Tempolocus is a time-series activity patterns and approximate location inference
Turn Claude/Codex into geospatial analytics agent.
26m function call model that runs on incredibly small devices.
Real Goroutines for Python 3.13t+ free-threaded.
Fast dependency-free, typed Mustache renderer for Python 3.12+
Apache Ossie is a vendor-neutral standard for sharing semantic metadata across analytics, AI, and BI tools. Its goal is to define metrics and business meaning once, then reuse them everywhere.
Build autonomous Python agents with native Agent-to-Agent (A2A) communication.
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