ryan

Repository to host a pipeline for electrocatalysis CO₂ reduction data analysis and ML

Windows Setup (PowerShell + uv + Jupyter)

These steps are for Windows using PowerShell.

1. Install Python, Git, and uv

• Python (Windows download): https://www.python.org/downloads/windows/
• Git (Windows download): https://git-scm.com/download/win
• uv install guide: https://docs.astral.sh/uv/getting-started/installation/

Install uv with:

pip install uv

Close and reopen PowerShell after installing.

2. Move to the folder where you want to keep this repo:

cd C:\path\to\your\projects

3. Clone the repository:

git clone https://github.com/NukP/ryan.git

4. Enter the project folder:

cd ryan

5. Create a virtual environment:

uv venv

6. Activate the virtual environment:

.\.venv\Scripts\activate

7. Install dependencies from pyproject.toml / uv.lock:

uv sync

8. Register the environment as a Jupyter kernel:

python -m ipykernel install --user --name "ryan" --display-name "ryan"

9. Select this kernel in VS Code:

• Open a notebook (.ipynb).
• In the top-right corner, select Select Kernel.
• Choose Select Another Kernel....
• Choose Jupyter Kernel....
• Select ryan.

If ryan does not appear, refresh the kernel list or restart VS Code.