Python Course Day 34 | NumPy 2D Array Indexing & Slicing in Python | Rows, Columns & Sub-Matrices
🚀 Python Full Course for Beginners in Hindi – Day 34
In this video, you will learn how to work with 2D NumPy Arrays, including accessing rows, columns, individual elements, and extracting sub-matrices using slicing techniques.
NumPy is one of the most important libraries for Data Science, Machine Learning, AI, and Scientific Computing.
📚 Topics Covered
✔ Creating 2D NumPy Arrays
✔ Understanding Rows and Columns
✔ Accessing Elements using [row, column]
✔ Selecting Complete Rows
✔ Selecting Complete Columns
✔ 2D Array Slicing
✔ Extracting Sub-Matrices
✔ Real-World Examples
✔ Beginner-Friendly Explanation in Hindi
Example Covered
grid = np.array([
[10, 20, 30],
[40, 50, 60],
[70, 80, 90]
])
print(grid[1,2])
print(grid[:,1])
print(grid[0:2,0:2])
🎯 This lecture is perfect for students who want to learn:
Python Programming
NumPy Library
Data Science
Machine Learning
Artificial Intelligence
Data Analysis
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