星期五, 2月 13, 2026

Project

UoC listed AI

https://it.chicagobooth.edu/TDClient/30/Portal/KB/Article/16960/List-of-Approved-Booth-AI-Products

https://www.gartner.com/document-reader/document/4017927?ref=hp-wylo-rec

https://fx-carry-analyzer-krchargmrhe9te9m2uwjst.streamlit.app/

https://catalog.ccc.edu/programs/

Package--

    python--jupyterlab--R--RStudio-Slack--Obsidian--nodejs.org--VScode--git--

Windows: VS Code Extension (Recommended)

VS Code is a free code editor, and the Claude Code extension lets you use Claude Code right inside it.

  1. Download VS Code (free): code.visualstudio.com
  2. Open VS Code
  3. Press Ctrl+Shift+X to open Extensions
  4. Search "Claude Code" and click Install
  5. Click the Spark icon in the top-right corner to open Claude Code
  6. Sign in with your Claude account
--open Claude in the folder from cmd by npx @anthropic-ai/claude-code
in terminal:
cd ~/Desktop/Boot
mkdir docs
echo "# Project: Boot" > CLAUDE.md
  • CLAUDE.md (The Memory): Every time you start a session, Claude reads this file first. If you tell Claude in this file "I prefer using Python for everything," it will never try to give you JavaScript. It saves you from repeating yourself

  • docs/ (The Brain): This is where you will save your spec.md. Keeping it here ensures that your project root doesn't get messy and that you have a dedicated place for project planning.

  • MS Azure--workspace--notebook--instance--data asset (choose storage)--
    --Credit renews await for 24 hours--
    Azure to Git by
    • Run the git config --global --add safe.directory ... command shown above to fix the security error.
    • Run the two git config --global user... commands to set your GitHub identity.
    • Run git add . (with the space!) to stage your files.
    What you do need to do is authenticate with GitHub so it knows you have permission to push code to your gittest repository. <Push> from githib
    • gh auth login, a better way to push

    Storage selection:
    • Blob: for image and MRI storage and training
    • Data lake: large, unconstructed and structed data analysis, heavy processing and transformation
    • SQL: frequent and rational data
    • Cosmos DB: globally distributed noSQL data for real time and low-latency analysis
    • File storage: good for file sharing 
    Mirror the Azure stance to Google Workspace
    • Both terminals apply 
      • setting terminal environment with pip
      • writing script with importing libraries and dataset


















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