ASSIGNMENT: NumPy Foundations

Create a Jupyter Notebook demonstrating core NumPy operations. Your submission should include: creating arrays from lists and using arange/linspace, reshaping and indexing arrays, element-wise operations and broadcasting, and statistical aggregations (mean, std, min, max, sum along axes). Use markdown cells to explain what each code cell does.

32 minutesProject submission

Assignment Instructions

NumPy Foundations: 30 Question Challenge

Master Python's core data science library with this 30-question interactive workbook.

This notebook synthesizes concepts from four key video tutorials, taking you from basic array creation to advanced broadcasting rules.

Arrays vs. Python Lists
Indexing, Slicing & Masking
Shape Manipulation

Aggregate Functions (Sum, Mean)
Broadcasting Rules
Vectorized Operations

Download Notebook Requires Jupyter Notebook or Use Google Collab