1140
News & links about Python programming. https://pythonhub.dev/ Administrator: @rukeba
Python automations are so much better than AI Agents and LLMs
https://www.reddit.com/r/Python/comments/1v7tfx9/python_automations_are_so_much_better_than_ai/
Mage
A Lightweight, Research-Friendly Multimodal Model Family.
https://github.com/microsoft/Mage
venv_manager
A powerful CLI tool for managing Python virtual environments with ease.
https://github.com/jacopobonomi/venv_manager
Building Agentic Workflows in Python with LangGraph
In this article, you will learn how to build a complete agentic workflow in Python with LangGraph, from a single model call to a tool-using agent with persistent conversation memory.
https://machinelearningmastery.com/building-agentic-workflows-in-python-with-langgraph/
google / agents-cli
The CLI and skills that turn any coding assistant into an expert at creating, evaluating, and deploying AI agents on Google Cloud.
https://github.com/google/agents-cli
WrenAI
Open-source GenBI: generative BI for AI agents.
https://github.com/Canner/WrenAI
Python Hub Weekly Digest for 2026-07-26
https://pythonhub.dev/digest/2026-07-26/
yifanfeng97 / Hyper-Extract
Hypergraph is more powerful. Transform unstructured text into structured knowledge with LLMs. Graphs, hypergraphs, and spatio-temporal extractions — with one command.
https://github.com/yifanfeng97/Hyper-Extract
Ban commits/transactions using AST analysis and linters
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.
https://www.droppedasbaby.com/posts/db-commits/
ProtoLink
Build autonomous Python agents with native Agent-to-Agent (A2A) communication.
https://github.com/nMaroulis/protolink
Fstache
Fast dependency-free, typed Mustache renderer for Python 3.12+
https://github.com/servletcloud/fstache
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/
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
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/
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
LLVMLITE in the Browser
This notebook explores how LLVM's optimization pipeline transforms a simple loop, step by step, using llvmlite running entirely in the browser via WebAssembly. We follow one small C++ function through three distinct stages — from source to raw stack-based IR (Intermediate Representation), through SSA form, to a closed-form calculation. After each stage, we inspect the control flow graph ...
anutosh491/llvmlite">anutosh491/llvmlite" rel="nofollow">https://notebook.link/@anutosh491/llvmlite
Django: introducing django-crawl
Adam Johnson introduces django-crawl, a tool that uses Django’s test client to crawl a site and uncover broken links, exceptions, and other hidden issues without making real HTTP requests. It can run as a management command or automated test, providing a fast safety net that found seven bugs even in a project with 100% test coverage.
https://adamj.eu/tech/2026/07/22/introducing-django-crawl/
xarray-sql
An experiment to query Xarray datasets with SQL.
https://github.com/xqlsystems/xarray-sql
Reusable scenario based test framework
Write your tests once. Run them on every product variant, device or technology — without rewriting a single line.
https://github.com/balder-dev/balder
In-House LLM Serving at Netflix
Netflix built an in-house LLM serving platform using vLLM and NVIDIA Triton, integrating self-hosted models into its existing production infrastructure through unified gRPC and OpenAI-compatible APIs. The article details production lessons around model packaging, version compatibility, zero-downtime deployments, observability, and scaling constrained decoding by moving bottlenecks from s...
https://netflixtechblog.com/in-house-llm-serving-at-netflix-a5a8e799ea2c
Lucen a Python compiler that parallelizes for-loops via comment pragmas
https://github.com/fcmv/lucen
Python 3.15’s Ultra-Low Overhead Interpreter Profiling Mode
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 ...
https://fidget-spinner.github.io/posts/ultra-fast-tracing.html
Ossie
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.
https://github.com/apache/ossie
tempolocus
Tempolocus is a time-series activity patterns and approximate location inference
https://github.com/ail-project/tempolocus
What Every Python Developer Should Know About the CPython ABI
https://labs.quansight.org/blog/python-abi-abi3t
Mebus / cupp
Common User Passwords Profiler (CUPP)
https://github.com/Mebus/cupp
huggingface / speech-to-speech
Build local voice agents with open-source models
https://github.com/huggingface/speech-to-speech
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/
GeoSQL
Turn Claude/Codex into geospatial analytics agent.
https://github.com/dekart-xyz/geosql
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