Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

CodeSignal

Fundamentals of Vectors and Matrices with NumPy

via CodeSignal

Go to class Write review

Overview

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.

Syllabus

  • Unit 1: Initializing Vectors and Matrices with NumPy
    • Initialize Vectors and Matrices with NumPy
    • Exploring NumPy Matrix Reshaping
    • Debug and Fix NumPy Initialization
    • Complete NumPy Matrix Initialization
    • Creating Essential NumPy Structures
  • Unit 2: Vector Properties and Norms with NumPy
    • 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
  • Unit 3: Matrix Properties: Shape, Size, and Transpose
    • Explore Matrix Properties with NumPy
    • Swapping Rows in a Matrix
    • Fix Common NumPy Matrix Errors
    • Matrix Properties Exploration with NumPy
    • Analyzing Matrix Fundamentals
  • Unit 4: Matrix Determinants with NumPy
    • Explore Matrix Determinants with NumPy
    • Matrix Determinant Change Practice
    • Fix the Determinant Calculation Task
    • Complete the Determinant Calculation Task
    • Calculate and Display Matrix Determinant
  • Unit 5: Matrix Rank with NumPy
    • Calculate Matrix Rank with NumPy
    • Modifying Matrix and Calculating Rank
    • Debug Matrix Rank Calculation
    • Calculate and Understand Matrix Rank
    • Mastering Matrix Rank Calculation

Reviews

Start your review of Fundamentals of Vectors and Matrices with NumPy

Go to class

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.