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Vector and Matrix Operations with NumPy

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Overview

This course covers essential vector and matrix operations such as addition, subtraction, and multiplication. Students will gain practical experience with linear algebra techniques, further developing their skills with matrix manipulation and foundational operations.

Syllabus

Unit 1: Vector Addition, Subtraction, and Scalar Multiplication with NumPy

Run Vector Operations with NumPy
Modify Scalar Multiplication Factor
Debugging Vector Calculations
Complete Vector Computations with NumPy
Mastering Vector Operations with NumPy

Unit 2: Dot Product and Cross Product of Vectors with NumPy

Exploring Vector Operations with NumPy
Practice Vector Operations with NumPy
Fix Common Vector Operation Errors
Calculate Dot and Cross Products
Vector Operations with NumPy

Unit 3: Matrix Addition, Subtraction, and Scalar Multiplication with NumPy

Matrix Operations with NumPy
Alter Matrix Values and Scalars
Fix Common Errors in Matrix Operations
Matrix Operations Practice with NumPy
Mastering Matrix Operations

Unit 4: Matrix Multiplication with NumPy

Matrix Multiplication in Action
Modifying Matrix Multiplication Elements
Fixing Matrix Multiplication Errors
Matrix Multiplication Made Simple
Matrix Multiplication Mastery

Unit 5: Matrix Inversion and Applications with NumPy

Matrix Inversion Exploration
Exploring 3x3 Matrix Inversion
Debug Matrix Inversion with NumPy
Mastering Matrix Inversion with NumPy
Matrix Inversion Mastery with NumPy

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