svedala-toolbox

Your personal course repository for EG2140 Computer Applications and Machine Learning in Electric Power Systems. During Period 1 you build this package by hand, lab by lab: a network loader, an N-1 contingency screener, a data pipeline, and the analysis on top.

Getting started (Lab 1)

python3.11 -m venv .venv         # Windows: py -3.11 -m venv .venv
source .venv/bin/activate        # Windows (PowerShell): .venv\Scripts\Activate.ps1
pip install -r requirements.txt  # installs deps + this package (editable)
svedala info                     # works once you have done Lab 1

Two things to know on day one:

• A fresh clone has a red test suite on purpose: the loader tests fail until Lab 1 is done — that failing list is your Lab 1 todo list, and CI turns green when you finish it.
• The package must be installed editable (the -e . line inside requirements.txt does this). A plain pip install . will not find the data folder.
• Create the venv with an explicit interpreter (python3.11, or py -3.11 on Windows) — outside a venv, plain python is whichever Python your system finds first, which is not predictable.

Follow the lab instructions in the course material. Each lab has a self-check, run from the repo root: python checks/lab1_check.py.

Layout

src/svedala_toolbox/   the package — everything you keep goes here
tests/                 pytest tests — they grow every lab
data/svedala/          the Svedala model as five CSV files
checks/                per-lab self-check scripts (not hand-ins)

No AI coding tools in Period 1 — see the course rules on Canvas.