linuxiac

Python 3.15 Released with Faster JIT, Lazy Imports, and UTF-8 by Default

Python 3.15 introduces lazy imports, UTF-8 as the default encoding, faster experimental JIT performance, and new profiling ...

[IT News] Python 3.15.0 Officially Released: A Summary of Official Announcements on What Has Changed

This article is a summary of the official announcement. Verification date: 2026-10-10. Screens and conditions are subject to ...

Python 3.15 released: Lazy imports, UTF-8 and new data types

Python 3.15 is expected to speed up some programs and simplifies handling immutable data. UTF-8 as standard requires testing.
BetaNews

Python 3.15 arrives with lazy imports, UTF-8 by default and a faster JIT

Python 3.15 is out with explicit lazy imports, UTF-8 as the default encoding, frozendict and sentinel types, the Tachyon ...
Security Boulevard

CyberXero Uses AI Orchestration Layer to Run Two Cyber Campaigns

CyberXero, a Russian-speaking threat group, is using common hacking tools and AI to run two distinct campaigns: Common IAB ...
learn

Human interaction pattern

The human interaction pattern describes workflows that pause and wait for input from a person before they continue. This pattern is useful for approval workflows, multifactor authentication, and any ...
Open Source For You

Platform Engineering For LLM Applications

Observability, security, and cost control are all critical for LLM applications. Here are a few things you could do to ...
x

Open-Source Projects on X: "• Build real-time servers and clients in Python • Handles connections so you focus on your app • Works with asyncio, threading, and trio"

Discover open-source projects and developer tools worth exploring.

Identifying standard library APIs removed in Python 3.15 from your code using AST—502 public name differences and a comparison with ruff, pyupgrade, and ver…

Python 3.15.0 was released on October 9, 2026. The "Removed" section of the official "What's New in Python 3.15" document ...
GitHub

Faster CPython Benchmark Infrastructure

* indicates that the exact same versions of pyperformance was not used. Improvement of the geometric mean of key merged benchmarks, computed with pyperf compare. The results have a resolution of 0.01 ...