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News & links about Python programming.
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Pip 26.2: –only-deps solves 16 years of app deployment hacks

Pip 26.2 is expected to add pip install --only-deps ., allowing developers to install dependencies from pyproject.toml without installing the project itself. The feature resolves a 16-year pain point for deploying Python applications and scripts, replacing brittle requirements files, editable installs, and third-party workarounds.

https://jamesoclaire.com/2026/07/23/pip-26-2-only-deps-solves-16-years-of-app-deployment-hacks/
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AlgebraX - Algebraic Structures in pure Python

AlgebraX is a Python library for generalized algebraic structures, focusing on Semirings and their applications in Graph Theory, Signal Processing, and Physics.

https://github.com/erivlis/algebrax
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Scaling NumPy on Free-Threaded Python

A recap on the work done in NumPy and CPython to make multi-threaded NumPy workloads scale on the free-threaded build of CPython.

https://labs.quansight.org/blog/scaling-numpy-on-free-threaded-python
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MappingTools. Do stuff with Mappings and more.

This library provides utility functions for creating, manipulating, and transforming data structures, which have or include Mapping-like characteristics.

https://erivlis.github.io/mappingtools/
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Self-contained highly-portable Python distributions

https://gregoryszorc.com/docs/python-build-standalone/main/
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Setting Django's DEBUG safely

Deploying Django with DEBUG=True exposes your app to attackers. Learn why it's risky and how to fail closed so DEBUG=False stays the safe default.

https://lincolnloop.com/blog/setting-djangos-debug-safely/
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Projects I Wouldn't Use Python For in 2026

A longtime Python developer reflects on decades of using Python for almost everything, then explains why it is no longer always his first choice and what he often uses instead. It also covers where Python still shines and why it remains an important part of his toolkit.

https://menno.io/presentations/not-python-2026/index.html#/
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LoopX

Lightweight loop engineering state kernel for long-running AI agent teams. Agent-loop agnostic across Codex, Claude Code, and other coding agents, with durable goals, quota-aware auto-wake, executable todos, evidence logs, and verifiable handoffs.

https://github.com/huangruiteng/loopx
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