Data Analytics
Fundamentals of Vectors and Matrices with NumPy
This course introduces the basics of vectors and matrices, including initialization, essential properties, and an introduction to the Numpy Linalg library, to build a foundation for linear algebra operations using NumPy.
Numpy
Python
5 lessons
25 practices
3 hours
Coding and Data Algorithms
Lessons and practices
Initialize Vectors and Matrices with NumPy
Exploring NumPy Matrix Reshaping
Debug and Fix NumPy Initialization
Complete NumPy Matrix Initialization
Creating Essential NumPy Structures
Understanding Vector Norms with NumPy
Exploring Vector Norms with NumPy
Debugging Vector Norms with NumPy
Calculating Vector Norms in Python
Writing Code for Vector Norms
Explore Matrix Properties with NumPy
Swapping Rows in a Matrix
Fix Common NumPy Matrix Errors
Matrix Properties Exploration with NumPy
Analyzing Matrix Fundamentals
Explore Matrix Determinants with NumPy
Matrix Determinant Change Practice
Fix the Determinant Calculation Task
Complete the Determinant Calculation Task
Calculate and Display Matrix Determinant
Calculate Matrix Rank with NumPy
Modifying Matrix and Calculating Rank
Debug Matrix Rank Calculation
Calculate and Understand Matrix Rank
Mastering Matrix Rank Calculation
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