Calling External Commands from Python: Separating Arguments, Exit Codes, and Timeouts

When automating tasks with Python, you often want to call other programs on your machine. However, there is not just one ...
Analytics Insight

Three Ways to Speed Up Python Code With Numba: A Practical Guide

Overview: Numba is a just-in-time (JIT) compiler that turns Python functions into fast machine code. In one tested example, a ...
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 ...
Security Boulevard

Suspected TraderTraitor Group Uses Trojanized Terraform Provider to Deliver Cross-Platform Malware

IntroductionIn July 2026, Zscaler ThreatLabz uncovered a campaign linked to TraderTraitor (also tracked as Jade Sleet, UNC4899, Pressure Chollima, and Slow Pisces), an advanced persistent threat actor ...
XDA Developers

I connected my local LLM to Discord, and now I can reach it from anywhere without opening a single port

I've spent a lot of time making my local LLMs faster. I run Lemonade on a Strix Halo box in my home lab, and it's genuinely ...
Cyber Security News

ClickFix Fake CAPTCHA Attack Executes Malware Hidden Inside Browser Cache

ClickFix attacks fake CAPTCHA pages to trick users into running malicious commands, delivering malware through compromised websites.

I stopped Claude Code's Python overwrites with a hook. I determined the scope using 30,000 logs.

Recently, I've noticed Python code appearing on my Claude Code screen more often. Even for a single-line file fix, it writes ...
NetEye Blog

MCP or CLI? Pros, Cons, and the Real Limits with Local Models

One MCP server for the filesystem, one for Git, one for Jira, one for the database, one for Icinga, one for the browser, one for email… and before long you find yourself with ten or fifteen servers ...
quantumzeitgeist

NVIDIA launches AIPerf to reliably test LLM speed at scale

NVIDIA launches AIPerf, a new load client designed to reliably benchmark LLM inference at scale and overcome limitations of scripting or single-process tools.