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0:17
Computer Science Coding Tips for Programmers
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¿a vos tambien te anda lento el internet con windows 11? 😵💫🛜 . . . #programacion #programacionweb #aprenderprogramacion #informática #ingenieria
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Python banking app #programming #awdev_6 | python
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Building the same app with Grok 4.5 and Opus 4.8. Comment
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What is Machine Learning? (Simple Explanation) 🤖| Intelipaat #shorts
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miinh129
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Слезай с иглы нейросетей 🤖⚠️ ИИ способен ускорить работу программиста, но если полностью полагаться на него, можно перестать развиваться как специалист. Без понимания кода, алгоритмов и архитектуры зависимость от нейросетей быстро превращается в серьёзную проблему. В этом видео — почему важно использовать ИИ как помощника, а не как костыль, и как сохранить свои профессиональные навыки. #нейросети #ии #программирование #разработка #it
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#python #viral #foryou #trending #terraristik | python
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Want to Laugh and Learn as a Techie daily? Follow me! Context: An honest developer admits that their updates includes new bugs to be fixed in a future update 😂 #vibecoding #developerlife #techmemes #codinghumor #programmer
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hercjay_tech
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Build Your Own ChatGPT Bot in Python (in 60 Seconds) #python #coding #programming In this video you'll build a fully working ChatGPT bot from scratch using Python and the OpenAI API. Starting from a single API call, add user input function and then a full conversation loop with memory, all in under thirty lines of code. You'll learn how to initialize the OpenAI client, send messages to gpt-5.4-mini, and structure a growing message history so your bot actually remembers the conversation. All you
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code_with_alex
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¡¡OTRO ARGENTINO EN EL OJO DEL HURACÁN!! 💥🇦🇷🏴
172,5Tsd. Aufrufe
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Andrej Karpathy's explaination of Bigram Language Model explained Bigram LMs, though simple, it provides powerful insight into the inner mechanics of how tokens are processed in language models. This is a pre-amble for what's next: GPT, which is the 2nd part of the series The Bigram model here incorporates: Tokenization, Vocabulary, Negative Loss Function, Cross Entropy, Logits, SoftMax, Optimizer, and AdamW These are essential ingredients to understand in order to build our knowledge on how LLM
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Python Object-Oriented Programming | I had experience with OOP prior to learning python when I was using Java. So when It came to learning python, not only were the syntax much easier than Java, but both languages all share a major similarity with each other: they both support OOP. My experience with Java made learning Python much easier because I was already familiar with the core principles of OOP. Here is more info on OOP if you’re interested: Object-Oriented Programming (OOP) in Python is a
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🗂️ Claude Code, decoded — the full project structure Most people open Claude Code and dump everything into one giant CLAUDE.md. 😅 But the real power is in the structure. Here's how a clean, agent-ready repo actually looks 👇 📄 CLAUDE.md → your project's overview & config 🔒 .claude/ → where all the magic lives 📐 rules/ → coding conventions Claude actually follows ⚡ commands/ → your own /slash workflows 🧩 skills/ → auto-loaded only when relevant (keeps context light) 🤖 agents/ → specialized
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