A structured NumPy practice repository showcasing hands-on learning through Jupyter notebooks. It covers array creation, indexing, slicing, reshaping, broadcasting, and numerical operations. Built to strengthen core foundations required for Data Science, Machine Learning, and efficient scientific computing in Python.