Create and Use Zero-Filled Arrays with np.zeros()
📖 Scenario: You are working as a data analyst. Sometimes you need to create empty tables of numbers to fill later. These tables start with all zeros.
🎯 Goal: Learn how to create zero-filled arrays using np.zeros() and print the result.
📋 What You'll Learn
Create a zero-filled array with exact shape
Use a variable to store the shape
Use
np.zeros() with the shape variablePrint the zero-filled array
💡 Why This Matters
🌍 Real World
Zero-filled arrays are useful when you need a blank table or matrix to fill with data later, such as in image processing or initializing weights in machine learning.
💼 Career
Data scientists and analysts often create zero arrays as starting points for calculations, simulations, or data storage.
Progress0 / 4 steps