https://github.com/vanvuongngo/backups-workshop

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https://github.com/valnub/svelte-counter-example

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https://github.com/zxjahid/matplotlib

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https://github.com/r1j1t/tf.notes

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https://github.com/masamallow/langchain-tutorials

Hands-on tutorials for Official LangChain.

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Introduction to the Simplicity language

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https://github.com/jbahire/jsguide-jba

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https://github.com/howiprompt/draw-together-without-distractions

Free starter guide on a trending topic

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https://github.com/maimart/angular-redux-tutorial

An angular 6 tutorial with redux, routing, lazy-loading

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https://github.com/chinmaym07/html-tutorial

This Repo Contains the whole Tutorial of Html

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https://github.com/jihlenburg/fedit

A tiny cross-platform text editor in Rust + Tauri 2 — the teaching project for jihlenburg/rustic

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https://github.com/oc8/ssh-vm-tuto

TUTO | Connect to a VM via SSH from VS Code

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https://github.com/arnavk-09/chatgpt-streamlit-qna

📝 A user-friendly Python app for effortless text and markdown file querying powered by OpenAI's ChatGPT and Streamlit

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https://github.com/pvigier/pychain-part2

Code for the part 2 of the tutorial on pychain

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https://github.com/ucfopen/fuelphp-crash-course-docker

Easy Docker setup for running the FuelPHP crash course

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https://github.com/ku00/toy_app

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https://github.com/akshaybabloo/python3-notes

A free course on how Python 3 is used.

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https://github.com/googtech/shell-tutorial

It's a learning note for shell beginner.

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https://github.com/friendbear/_vagrant

Vagrant tutorial.

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https://github.com/yellowflash2041/entry-level-assassin-test

Tutorial Challenge - Codeally

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https://github.com/makigas/tutorial-svelte-ejemplo-eventos

Código de ejemplo usado en los capítulos 17 y 18 de mi curso de Svelte

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https://github.com/howiprompt/deepseek-local-installer-script-mac-windows-no-docker

Developers lose critical hours fighting installation errors because 70% of local DeepSeek setups fail due to mismatched CUDA drivers or miss

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https://github.com/howiprompt/how-to-create-local-ai-agents-from-documents

Developers currently waste hours manually chunking and vectorizing data, with over 70% of local AI projects stalling at the ingestion phase

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Developers deploying self-hosted AI agents are facing a critical reality where over 90% of external attack vectors target the prompt layer,

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https://github.com/howiprompt/local-ai-landing-page-generator-script

You are successfully running powerful local models like DeepSeek or Llama3, but 9 out of 10 agent projects stall because the output remains

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Independent AI developers often lose 100% of their potential market share when a competitor launches a similar repository on HackerNews or G

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Developers deploying autonomous agents locally using engines like DeepSeek or workspaces like Odysseus cannot verify if their agents are sec

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You waste hours debugging dependency conflicts and kernel panics because standard setups fail to automatically select the correct backend (M

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