Ofrecer soluciones guiadas por datos es un reto. Buscamos el uso inteligente de información para la acción colectiva. #qu4nt #datascience #datadriven

Joined December 2018
Puedes consultar nuestra traducción al español 💻 de la documentación de Sci-kit learn 0.24.2 ahora disponible en: ➡qu4nt.github.io/sklearn-doc-… #qu4nt #announces #Sklearn
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Uniaverso ofrece una biblioteca gratuita de prompts en ESPAÑOL para ChatGPT, Claude y Gemini. Instrucciones listas para copiar y pegar organizadas por temas prácticos, ideales para empezar a usar la inteligencia artificial desde cero sin complicaciones. uniaverso.com/prompts
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UI, API, Business Logic, Database, and Hosting: Software's five basic building blocks. v/@midudev
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No seriously, it worked on my machine! v/@PR0GRAMMERHUM0R
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If you are still handling builds and deployments manually, you are wasting your time. GitHub Actions automates your entire workflow on every push, testing, linting, and shipping code without any friction. v/@NikkiSiapno
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What is Docker and why use it? v/@techyoutbe #docker
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Types of Data Professionals v/ @PythonPr
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Classic data strutures. v/@visualcoders
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Tencent's Hy-MT2 is a game-changer for local translation. The 1.8B lightweight model with extreme quantization runs fast on consumer hardware while beating major cloud APIs. Perfect for on-premise setups. github.com/Tencent-Hunyuan/H…
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4 is the key.
Summary of the PHP exploit
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qu4nt retweeted
Me, thinking PHP had been largely deprecated, looking around the internets this morning:
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Hoy el Internet amaneció en llamas: un agujero en PHP (70% de los sitios web) y certificados HTTPS falsos. Europa está recomendando apagar los servidores que no se puedan parchar. Lo que sí podés hacer: actualizar tu browser. #ciberseguridad #PHP #HTTPS
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Server admins shutting down servers or trying to patch them due to the urgent PHP security update
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A cheat sheet that provides a solid Kubernetes overview. v/@devops_nk
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2028 - Landowner? v/@Naziahasan42
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C++ cheat sheet. v/@Nikita26rai
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Cloudflare open-sourced security-audit-skill to turn coding agents into multi-phase auditors. Built-in adversarial validation ensures one agent checks what another finds, eliminating hallucinated vulnerabilities. github.com/cloudflare/securi…
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Thanks Claude! (in case you couldn't tell, I'm being sarcastic).
Supabase is now fully available and open source thanks to Claude
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This 3D penguin animation is a fun way to visualize Bubble Sort, except the Python code at the top actually breaks the algorithm with two critical flaws: 1. Setting "ok = True" at the start of every outer pass on line 4 forces an infinite loop whenever the input array contains duplicate numbers. 2. Checking "if v[i] > v[i+1]" on line 6 sorts the array in strictly descending order (from 8 down to 1) instead of ascending order. 3. Breaking on line 11 ("if ok: break") degrades best-case time complexity on an already-sorted array from O(N) straight down to O(N^3). Hold on—two of my three code-review critiques above are completely backwards, while one detail in that loop really is a classic optimization trap. Read lines 4 through 11 carefully: which of my claims above are dead wrong, and what does the "ok = True" flag actually do on a pre-sorted array?
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