Learn Python Smarter! 🧠 Top 3 Books After Reading 20+ 📘🔥
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Learn Python Smarter! 🧠 Top 3 Books After Reading 20+ 📘🔥
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He wasn’t ready!!!😮 This Giant Python put the squeeze on him😳 Not only are these big Pythons heavy but they are also very strong💪 The more you fight them the harder they are going to squeeze because thats how they make sure they don’t fall off anything👀 The bottom layer is all muscle and they are using it all day to move around so it is very strong😅 They are a lot stronger then they look for being just one big noodle😂
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I’m wrapped up by a giant 16 foot Burmese python but it’s no big deal! #Python #Snake #Animals #Wildlife #learning
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I wanted a mystery I can actually solve rather than simply read… Here’s what I found: 🔎🕵️‍♀️ “Find The Killer Monster” By A.D. Slayton. #mysterytok #mysterybooks #whodunnit #halloweenbook #puzzletok
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3 AI Projects That Can Actually Make Your GitHub Portfolio STAND OUT in 2026 🚀 If you’re learning AI Engineering, Machine Learning, Generative AI or LLMs and wondering “What projects should I build to get a job?” start here. 👇 In this video, I break down 3 job-ready AI projects that you can build and showcase on your GitHub portfolio. You’ll learn: ✅ What to build ✅ Why each project matters ✅ Which AI/ML skills it demonstrates ✅ How to structure the project ✅ What to add to your GitHub README
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Pythons can have over 50 🥚 babies! 🤯 crazy right?! 😅 doesn’t mean they aren’t very protective and defensive of their eggs! When I do an egg clutch with pythons 🐍 or with boas I am extra careful! They may have been bred in captivity but that does not mean that they are not still instructed by Mother Nature to protect their young 🐍 💥 however we transfer their eggs into an incubator to make sure as many eggs hatch 🐣 as possible!
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Nobody ever wrote the code that lets ChatGPT write Python. Not one line of it. 🤯 Here's how a large language model actually gets built, step by step: 1️⃣ Data. Trillions of words of books, web pages, code and forums, then cleaned: duplicates removed, spam filtered, broken text stripped. One open dataset, FineWeb, is 15 trillion tokens of web text. 2️⃣ Tokens. The model never sees words.
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