Kiru Lab / Foundations: Python as an Instrument
Python for Experiments
Arrays, plots, and the reproducibility hygiene that makes a result mean something.
In this module you will
- Replace explicit loops with vectorized array operations
- Read a shape error and know what to fix
- Make a result reproducible by controlling randomness
Arrays and Vectorization
NumPy is the language every later library speaks. Shapes are the grammar.
Code Walkthrough · 35m
Seeing Your Data
A plot is a debugging tool, not a decoration. Look before you model.
Hands-On Lab · 30m
Reproducibility, Seeds, and Honest Results
An experiment that cannot be re-run is an anecdote. Kiru runs on reproducible evidence.
Concept · 20m