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News & links about Python programming. https://pythonhub.dev/ Administrator: @rukeba
Tracing np.add, all the way down
The author traces a simple np.add(a, b) call through NumPy’s internals, from Python argument handling and dtype dispatch to iteration strategy and the final SIMD-optimized C loop. Along the way, the post explores ufunc overrides, type promotion, dispatch caching, memory layout, GIL release, and CPU-specific optimizations that determine how NumPy actually performs an addition.
https://blog.veitheller.de/numpy.html
Django API Overview - DRF, django-ninja, django-bolt and django-modern-rest
In this video, we'll look at Django API options, exploring the best modern packages for API-driven development in Django. We will take a look at Django REST Framework, django-ninja, django-bolt, and django-modern-rest - looking at the pros/cons of each.
https://www.youtube.com/watch?v=AFYNEGtsjKI
You Think This Is Good OOP… It’s Not
Six common OOP practices can make code harder to maintain, including overusing inheritance, building unnecessary class hierarchies, breaking the Liskov Substitution Principle, and abstracting too early. The video explains why these patterns backfire and shows simpler alternatives that keep object-oriented code more flexible, understandable, and maintainable.
https://www.youtube.com/watch?v=RqcEK7sWesQ
FlightScnr_Pi
Desktop flight and marine radar: a real-time aircraft and marine vessel tracker powered by a Raspberry Pi and 4" round screen.
https://github.com/yashmulgaonkar/FlightScnr_Pi
Working to Make Python Lazy
https://iscinumpy.dev/post/flake8-lazy/
microduck_rl
RL training environments for Microduck (mjlab)
https://github.com/pollen-robotics/microduck_rl
Tech-OA-Interview-Questions
Daily updated list of Tech Company OAs and Interview Problems. Save your time from finding them all over the internet.
https://github.com/perixtar/Tech-OA-Interview-Questions
Training and Finetuning Multi-Vector Embedding Models with Sentence Transformers
Sentence Transformers 6.0 introduces MultiVectorEncoder for training and fine-tuning ColBERT-style retrieval models in Python. The tutorial walks through the full training stack and shows a domain-tuned medical model outperforming over 50 retrieval model configurations on the author’s evaluation.
https://huggingface.co/blog/train-multi-vector-encoder
HTTPX2 – A next-generation HTTP client for Python
https://github.com/pydantic/httpx2
monty-go: Pure-Go wrapper for Pydantic's Monty Python Interpreter
https://github.com/fugue-labs/monty-go
fastaddress
Fastaddress is a Python package that keeps the familiar usaddress API while moving its CRF runtime to Rust for much faster US address parsing. It delivers 11.3x higher single-core throughput, scales to 360K+ addresses per second on eight threads, and matches usaddress output across 20,738 real addresses.
https://github.com/vinvomero/fastaddress
Time complexity of operations on Python's built-in types
https://docs.python.org/3.16/library/time-complexity.html
EVE Online moves to Python 3
https://www.eveonline.com/news/view/the-move-to-python-3-begins
VoiceStudio
VoiceStudio is the open-source, fully local ElevenLabs alternative for voice cloning, voice design, video dubbing, dictation, transcription, and audiobook creation in 646 languages.
https://github.com/debpalash/VoiceStudio
pentestkit
Autonomous multi-agent pentest framework that plans, exploits, verifies with required proof, assigns CVSS scores, and generates client-ready reports. It achieved 104/104 (100%) on the XBOW validation benchmarks and is powered by Kimi K3.
https://github.com/lordx64/pentestkit
When to use NotImplemented
When should you return NotImplemented from a dunder method? Why not return False or raise an exception instead?
https://www.pythonmorsels.com/when-to-use-notimplemented/
AutoSaddler
Automatic Harness Optimization with Durable Updates from Agent Execution Traces.
https://github.com/microsoft/AutoSaddler
Unit testing with wrapture
Wrapture takes a different approach to Python unit testing by wrapping real code instead of replacing it with mocks, preserving real arguments, return values, call structure, and signatures. It makes it easier to test internal calls, inject failures, verify call order, and assert what did or did not happen without losing the behavior of the code under test.
https://grahamdumpleton.me/posts/2026/09/unit-testing-with-wrapture/
Securo
Open-source personal finance manager. Self-hosted, privacy-first.
https://github.com/securo-finance/securo
Making a Python interpreter in 1024 bytes
https://austinhenley.com/blog/python1024.html
linecast
Weather, tides, the sun, the moon, and maps, in your terminal. The Old Farmer's Almanac meets Minitel.
https://github.com/ashuttl/linecast
Python Hub Weekly Digest for 2026-09-06
https://pythonhub.dev/digest/2026-09-06/
IPython is All You Need
Nathan Cooper shows how to turn IPython into a full terminal shell that runs Bash commands without !, displays images, and retains rich execution history. He then adds an AI assistant that can understand shell context, outputs, images, and errors, and safely execute Python and Bash commands through allowlisted tools.
https://nathancooper.io/blog/2026-08-10-ipython-is-all-you-need
Fuzzy String Matching in Django and PostgreSQL
Django and PostgreSQL can handle fuzzy name matching with Soundex, Daitch-Mokotoff, Levenshtein distance, and trigram similarity, each suited to different kinds of misspellings and phonetic variation. The article shows how to expose these techniques through Django ORM expressions and pair them with the right PostgreSQL indexes for efficient search at scale.
https://www.caktusgroup.com/blog/2026/08/21/fuzzy-string-matching-django-postgresql/
VectorSmith
VectorSmith turns vector database collections into LLM tools and exposes them through an MCP server. Using the existing collection schemas and a simple YAML configuration, you can make your vector DB data available to AI agents without writing custom tool and MCP integrations from scratch.
https://github.com/kjgpta/vectorsmith
Geolocating Random Islet Image Using Geometry & CUDA GPU Programming
The author solved Sofia Santos’s Gralhix 004 OSINT challenge using a custom geometric pipeline and CUDA GPU acceleration to filter 80.7 million candidate landmass triplets down to 26 locations. The analysis successfully geolocated the image to Oan Resort in Micronesia at 7°21'48.4"N, 151°45'20.7"E, with the camera facing northwest.
https://yassa9.github.io/osint/gralhix-004/
How do you actually turn Python skills into freelance income?
https://www.reddit.com/r/learnpython/comments/1w1m8fg/how_do_you_actually_turn_python_skills_into/
RISC-V is now officially supported by CPython
https://blog.python.org/2026/08/riscv-now-officially-supported/
Learn Vectorized Thinking in Python Through Examples
In this article, you will learn how to think in terms of vectorized operations using NumPy, replacing slow Python loops with efficient array-level computations.
https://machinelearningmastery.com/learn-vectorized-thinking-in-python-through-examples/
Speculative Programmatic Tool Calling
Speculative programmatic tool calling (sPTC) speeds up AI agent harnesses by pre-launching tool calls from partially generated code instead of waiting for the model to finish generating. The approach overlaps tool execution with token generation and can also parallelize independent calls, acting like a lightweight JIT compiler for agent-generated programs.
https://alexzhang13.github.io/blog/2026/spec-ptc/