ny2honolulu / June 13, 2026 / HP Laptop 15s-fd0xxx
Full Updated Summary:
1. Base System
- OS: Debian 13 (Trixie)
- Shell: Bash with conda integration
- Hardware: Intel CPU, CPU-only AI (no discrete GPU)
2. Python Environment
- Miniforge installed and initialized
- Main Environment: ai-dev (Python 3.11)
- Core Packages Installed:
- JupyterLab 4.5.8
- PyTorch 2.5.1 (CPU)
- NumPy, Pandas, Matplotlib, scikit-learn, Seaborn
- Shortcuts:
- ai → conda activate ai-dev
- lab → JupyterLab
- notebook → Classic Jupyter Notebook
- ipy → IPython console
3. Terminal Enhancements
- Clean ~/.bashrc with AI-specific aliases
- Fastfetch, htop, git, curl, etc.
- Automatic conda base environment handling
4. Local AI & LLMs
- Ollama installed and running (CPU mode)
- Models pulled:
- llama3.2:1b (very fast)
- phi3:mini
- Open WebUI running at http://localhost:8080 (beautiful ChatGPT-like interface)
5. Development Tools Ready
- JupyterLab (lab command)
- PyTorch ready for local ML experiments
- Ollama + Open WebUI for daily AI usage
- Full conda environment management
Quick Start Commands
Bash
conda activate ai-dev
lab # Start JupyterLab
ollama serve & # Start Ollama (if not running)
webui # Start Open WebUI (ChatGPT interface)VS Code has now been successfully installed as the primary code editor and IDE. It provides excellent support for Jupyter notebooks, Python development, Git integration, and local AI workflows. With the Python and Jupyter extensions, you can seamlessly work with the ai-dev conda environment, run Ollama models directly from notebooks, and enjoy a modern, lightweight development experience that complements JupyterLab perfectly. This brings the HP laptop much closer in capability and comfort to your Asus Debian machine for daily AI development and experimentation.