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 ...
ecosistemastartup

Python 3.15.0 llega con JIT más rápido y UTF-8 por defecto

Python 3.15.0 sale a producción con 5.643 commits de 1.012 contribuyentes Python 3.15.0 ya es la versión estable, publicada el 9 de octubre de 2026. Es el ...
Хабр

Релиз Python 3.15

9 октября 2026 года состоялся релиз стабильной версии языка программирования Python 3.15, где экспериментальный ...

[IT News] Python 3.15.0rc3 Released, Official Announcement States Final Version Postponed to October 9

This article summarizes the content of the official announcement. Verification date: 2026-10-03. Screens and conditions are subject to change.Table of Contents What has been announced Changes and new ...
xenospectrum

AI Agents Put CPUs Back in the Spotlight: What a New Study Shows About Tool Calls and GPU Idle Time

Why do so many AI agent tool calls run on the CPU? Drawing on NVIDIA's CUDA guide and a research paper: GPUs can execute branches, and divergent branches run one after another. In SWE-Agent, doubling ...
HackerNoon

Clean Architecture in Python: Building Maintainable APIs Without the Overkill

Learn how to apply Clean Architecture in Python without overengineering, using domain entities, use cases, Protocols, and ...
blog.csdn

用 PyO3 实现 Python 装饰器：decorator 示例与 `__call__` 可调用对象深入解析

本篇文章围绕 PyO3 官方示例 examples/decorator展开，它完整演示了如何在 Rust 中借助 #[pymethod] 定义 __call__，让一个 #[pyclass] 实例表现得像 Python 函数，从而在纯 Rust 侧实现一个名为 Counter 的函数装饰器 ...
KDnuggets

This Python Library Can Run Pandas Workloads Up to 20x Faster

Discover how FireDucks can speed up pandas workloads with lazy execution, compiler optimization, and multithreaded processing, delivering up to 20x faster DataFrame performance in our benchmark.
developers.openai

Build a per-run spending controller with the Responses API

An agent using the Responses API may call a model several times to finish one task. Organization and project spending limits cover overall usage, but they cannot tell you whether that task can afford ...
learn

Microsoft Spark Utilities (MSSparkUtils) for Fabric

Microsoft Spark Utilities (MSSparkUtils) is a built-in package that helps you easily perform common tasks. Use MSSparkUtils to work with file systems, get environment variables, chain notebooks ...
marktechpost

Designing Skill-Driven Financial Analysis Agents with Claude, Python, MCP Connectors, and Automated Deliverables

In this tutorial, we build an advanced workflow around Anthropic’s financial-services repository and reproduce its skill-driven architecture in pure Python. We begin by installing the required ...
theregister

Feature freeze for Python 3.15 as first beta released

The Python team has released the first beta of version 3.15, with new features including a stable application binary interface (ABI) for free-threaded CPython, lazy imports to speed startup time, a ...