Beiträge mit #Tutorial

#Tutorial

Öffentliche Beiträge auf X, die #Tutorial verwenden.

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  1. Savannah Gray✓@Savannah_Gray32
    Adobe Photoshop tips-A creative mix of text and leaves 🌿 photoshoptutorial👀🔥 👇🏻 Follow for more Tutorials.
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  2. Tiara Willis@thetiarawillis
    genuinely think this is one of the best tutorials that i have seen
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    1845.6K46.7K3.4M
  3. Kiran Bharambe✓@Bharambe2Kiran
    You can learn coding by playing games. 🎯 10 websites that make learning to code more fun. You do not always need long tutorials or boring practice sessions to learn a new skill. Sometimes, playing a game is a great place to start. Here are 10 websites worth checking out: 1. Kubernetes → 2. DevOps → 3. Linux → 4. Git → 5. Python → 6. CSS & HTML → 7. Cybersecurity → 8. Mobile Coding → 9. Coding for Beginners → 10. 25+ Programming Languages → The best part? You can learn by solving challenges, experimenting with code, and improving as you play. Whether you are just starting out or want to sharpen your existing skills, there is something here for you. Save this list for your next learning session. 📌 Which website would you try first?
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    919411.1K
  4. Liwei Mao✓@liweimao
    We have lots of younger kids (age 5-7) in our 3rd grade math course, who can barely read. To help them learn math anyways, we created interactive DI tutorials that teaches out loud to them. To our delight, the tutorials work just as well for older kids. Watch this lesson.
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    142729712.2K
  5. Codrops✓@codrops
    Our community can't get enough of @paper right now: devs are designing with their agents, and designers are shipping apps! We've fallen for it too, and it's become the tool we design with at Codrops 💙 So we gathered our favorite tutorials, tips and tools into one guide. Start here: #ai #mcp #design
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    56735.6K
  6. THUG✝️@thugnightx
    @thugnightx
    App name : CSL Join TG for more free tutorials
    01913.2K
  7. yurshev✓@yurshevv
    holy f*cking sh*t Karpathy put an entire AI degree on github for free while you are still paying $200/month to watch youtube tutorials from a guy with 3000 followers 7 repos. 306,741 stars combined. in the right order they take you from "how a neuron learns" to "agents that run research overnight while you sleep" every repo you skip is a layer of understanding your competition at work already has and you do not. and every month you keep "planning to start" is another month someone on your team gets handed the AI project you should have been running here is the exact order. do not reshuffle it 1. micrograd → how a neural net actually learns. backpropagation in about 100 lines of python. this is where every AI engineer on earth started. if you cannot read this file, every other repo on the list is going to feel like black magic to you 2. nn-zero-to-hero → his full video course. lecture notebooks that walk you from a single neuron to GPT. the thing people pay $2000 for from AI "bootcamps" that teach a fraction of what is in this one free repo 3. minbpe → how text actually turns into tokens. the tokenizer that sits inside every LLM, in clean minimal code. this is the part 95% of self-taught people skip, and it is why their models never work right 4. nanoGPT → your own GPT. the simplest repo in existence to train and fine-tune one. after this file you stop asking "how does ChatGPT work" because you have literally built the smaller version with your own hands 5. llm.c → the same training with nothing hidden. raw C and CUDA, no PyTorch wrapper doing the hard parts for you. this is where you stop being a prompt engineer and start being an actual engineer 6. nanochat → a full chat model end to end. GPT-2 level training that cost ~$43,000 in 2019. in this repo it costs about $48. let that sit for a second. the thing people called a breakthrough is now a weekend project 7. autoresearch → agents that do the research for you. the agent edits your training code, trains for 5 minutes, keeps whatever improved, discards whatever did not, and repeats all night while you sleep. this is where the people reading this list stop being students and start being whatever comes after that the brutal truth most people avoid: train one GPT from scratch and you become the person who gets handed the AI project at work, along with the raise that comes with it. keep "planning to start" and you become the person watching that happen to someone else the classroom half of the same degree, what Stanford actually teaches about AI for real, is below
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    yurshev @yurshevv
    211421.2K106K
  8. yurshev✓@yurshevv
    1825231128K
  9. Holland Tech Marco✓@tec_marco10
    99% of the AI agent tutorials on YouTube are garbage. I’ve built 47 agents with n8n and Claude. Here are the 3 prompts that actually work (and make agent-building simple). Bookmark this post 🔖 Bonus: comment "Agent: and I’ll DM you AI agent system prompt + full guide ↓
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    2023331.1K
  10. EtheringtonBrothers@EtheringtonBros
    To get the FREE monthly How to THINK When You draw digital MAGAZINE, (with NEW tutorials, a YEAR before they appear online) tap the link in the bio HERE: @etheringtonbros + See us at @ThoughtBubbleuk on 14th-15th Nov for the LAST of the tutorials BOOKS! Table C1 REDSHIRT HALL!
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    36616.5K185K
  11. ExtendOffice - Kutools for Excel, Outlook, Word✓@ExtendOffice
    How to Split Text into Columns in Excel (No Formulas Needed!) In this tutorial, you'll learn how to: ✅ Split full names into first and last names ✅ Use Excel's Text to Columns feature ✅ Separate text using spaces, commas, tabs, or other delimiters ✅ Organize messy data into multiple columns ✅ Split text without formulas or manual editing Simply select your data, go to Data → Text to Columns, choose your delimiter, and let Excel do the work! 💡 Perfect for beginners, office workers, and anyone who wants to clean up Excel data faster. Follow for more easy Excel tips, tricks, and time-saving tutorials! #Excel #ExcelTips #ExcelTutorial #TextToColumns #SplitTextInExcel #ExcelForBeginners #ExcelTricks #MicrosoftExcel #ExcelShortcuts #DataCleaning #ExcelProductivity #LearnExcel
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    0315921
  12. Dhanian 🗯️✓@e_opore
    Want to master System Design in 2026? Whether you're aiming for a Senior Engineer role or scaling billion-user architectures, you need a structured path,not random tutorials. I’ve mapped out the ultimate System Design Roadmap for 2026, covering everything from core fundamentals to advanced cloud-native systems: 🧵 What’s inside the roadmap: 1. Fundamentals & Protocols: Scalability, Latency, TCP/IP, gRPC, WebSockets 2. Storage & Caching: SQL vs. NoSQL, Sharding, CDNs, Redis, LSM-Trees 3. Distributed Systems: Consensus (Raft/Paxos), Consistent Hashing, Event-Driven Architecture 4. Scalability & Microservices: Load Balancing, Service Mesh, Kubernetes, Distributed Tracing 📌 Take a close look at the diagram attached below for the complete, deep-dive breakdown of every topic and phase! 👇 What's your biggest bottleneck when scaling systems right now? Let me know in the replies! 📚 Grab the complete System Design Handbook 2026 (from Basics to Advanced) here:
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    9221774.2K
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