NumPy is the backbone of Python’s data science stack, offering lightning-fast array operations, rich statistical functions, and powerful optimization techniques. By mastering vectorization, ...

Python and MATLAB remain two of the most important tools in scientific computing, each with unique strengths. Python’s open-source ecosystem has caught up in speed and versatility, while MATLAB ...

publication_repo/ ├── make_figures.py # Generate all paper figures from pre-computed data ├── results/ # Pre-computed data (~360KB of pickle files) ├── figures/ # Output directory for generated ...

This repo explores a reproducible machine learning study of the UCI Adult (Census Income) dataset, built around an analysis-first workflow. The pipeline runs through a single sequential notebook, with ...