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Master NumPy Slicing & Indexing
👋 “Let’s master NumPy slicing and indexing — the secret to fast data manipulation in Python!”

🧠 Step 1: Create an array
import numpy as np
arr = np.arange(10)
print(arr)
📊 Output: [0 1 2 3 4 5 6 7 8 9]

🔹 Basic Indexing
print(arr[0]) # First element
print(arr[-1]) # Last element

🔹 Slicing
print(arr[2:7]) # From index 2 to 6
print(arr[:5]) # First 5 elements
print(arr[::2]) # Every 2nd element

🔹 2D Array Slicing
mat = np.array([[1,2,3],[4,5,6],[7,8,9]])
print(mat[0,1]) # Element at row 0, col 1
print(mat[:,1]) # All rows, 2nd column
print(mat[1:, :2])# Submatrix

💬 “Index smart, slice faster, and let NumPy do the heavy lifting! ⚡”

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