Python and SysV shared memory

The article explains how to use Python's ctypes to wrap SystemV shared memory functions (like shmat, shmget) for interprocess communication on systems restricted to Python 3.7. The author demonstrates creating, reading, writing, and destroying shared memory segments through Python, noting that while this approach isn't needed in Python 3.8+ due to built-in abstractions, it's useful in re...

https://euroquis.nl/blabla/2024/10/08/shm.html

Splink

Fast, accurate and scalable probabilistic data linkage with support for multiple SQL backends.

https://github.com/moj-analytical-services/splink

Django dashboard

give your django dashboard a new modern skin with new features,
Mobile responsive and customizable on top of tailwindcss

https://github.com/hypy13/django-daisy/

Django + Postgres: The Hunt for Long Running Queries

Using django-pgactivity for application-level monitoring of database queries.

https://pgilmartin.substack.com/p/django-postgres-the-hunt-for-long

Niquests

Niquests is a simple, yet elegant, HTTP library. It is a drop-in replacement for Requests, which is under feature freeze.

https://github.com/jawah/niquests

TypedDicts are better than you think

This post explains how Python’s TypedDict can enhance code clarity and maintainability by enabling more precise type annotations in dictionaries. It discusses how TypedDict ensures type safety and helps with early error detection in dynamic programming environments.

https://blog.changs.co.uk/typeddicts-are-better-than-you-think.html

Python 3.13.0

The newest major release of Python introduces several new features including an improved interactive interpreter, an experimental free-threaded build mode, and a preliminary JIT, along with various optimizations and changes to the standard library.

https://www.python.org/downloads/release/python-3130/

Python 3.13 and the Latest Trends: A Developer’s Guide to 2025

Learn about the exciting new features in Python 3.13. Get insider insights into the latest updates and learn about the plans for Python 3.14.

https://www.youtube.com/live/GPwYSf1t8Lw

In the Making of Python Fitter and Faster

How Python's recent performance improvements work under the hood.

https://sumercip.com/posts/making-python-fitter-and-faster/

Custom Dictionary Types in Pydantic

A quick primer on leveraging custom root types for this task.

https://bryananthonio.com/blog/pydantic-custom-dictionary-types/

The New Python 3.13 Is FINALLY Here!

Python 3.13 is here with exciting updates! Dive into the key new features, including the game-changing option to disable the Global Interpreter Lock (GIL).

https://www.youtube.com/watch?v=eUDGlxu_-ic

Pyloid

Pyloid is the Python backend version of Electron and Tauri, providing an open-source project that allows you to easily utilize various Python integration features. With Pyloid, developing desktop applications becomes simple, enabling you to effortlessly build apps by integrating Python's powerful capabilities.

https://github.com/pyloid/pyloid

ditto

The simplest self-building coding agent.

https://github.com/yoheinakajima/ditto

Parsera

Lightweight library for scraping web-sites with LLMs.

https://github.com/raznem/parsera

The Uncertain Art of Accelerating ML Models

This podcast episode features Sylvain Gugger, a machine learning engineer at Jane Street, discussing techniques for accelerating ML models. The conversation covers topics like learning rate schedules, performance optimization in PyTorch, GPU utilization, and the unique challenges of applying ML in trading environments.

https://signalsandthreads.com/the-uncertain-art-of-accelerating-ml-models/