A selection of things I've built across data, ML, GenAI, and full-stack engineering.
A complete NumPy learning project covering NumPy fundamentals, arrays, indexing, slicing, reshaping, broadcasting, mathematical operations, random module, aggregation, stacking, splitting, and practical examples.
Comprehensive NumPy repository covering array operations, mathematical functions, reshaping, indexing, and data analysis.
An interactive in-browser Python Matplotlib laboratory and 50-topic visual masterclass with live vector plotting, 3D surface studios, and Monaco IDE.
Complete Matplotlib learning repository covering basic to advanced data visualization concepts with Python. Includes practical examples, notes, and projects for Data Science and Analytics.
