Fundamentals of Vectors and Matrices with NumPy

Data Analytics

154 learners

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

See path

5 lessons

25 practices

3 hours

Coding and Data Algorithms

Course details

Initializing Vectors and Matrices with NumPy

Preview

Initialize Vectors and Matrices with NumPy

Exploring NumPy Matrix Reshaping

Debug and Fix NumPy Initialization

Complete NumPy Matrix Initialization

Creating Essential NumPy Structures

Next Course: Vector and Matrix Operations with NumPy

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From our community

Hear what our customers have to say about CodeSignal Learn

I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!

Francisco Aguilar Meléndez

Data Scientist

+11

I love that it's personalized. When I'm stuck, I don't have to hope my Google searches come out successful. The AI mentor Cosmo knows exactly what I need.

Faith Yim

Software Engineer

+14

It's an amazing product and exceeded my expectations, helping me prepare for my job interviews. Hands-on learning requires you to actually know what you are doing.

Alex Bush

Full Stack Engineer

I'm really impressed by the AI tutor Cosmo's feedback about my code. It's honestly kind of insane to me that it's so targeted and specific.

Abbey Helterbran

Tech consultant

I tried Leetcode but it was too disorganized. CodeSignal covers all the topics I'm interested in and is way more structured.

Jonathan Miller

Senior Machine Learning Engineer

+12

I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!

Francisco Aguilar Meléndez

Data Scientist

+11