Coursera Plus Annual is 40% Off — Ends July 13.

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

LinkedIn Learning

NumPy Essential Training: 1 Foundations of NumPy

via LinkedIn Learning

Write review
Noble Desktop Ad

Live Online Classes in Design, Coding & AI — Small Classes, Free Retakes

Learn More → CodeSignal Ad

Learn Generative AI, Prompt Engineering, and LLMs for Free

Learn More →

Overview

Google, IBM & Meta Certificates – 40% Off
One plan covers every Professional Certificate on Coursera.
Unlock All Certificates
Learn about NumPy, the most useful Python library for data science and numerical computing.

Syllabus

Introduction
  • Introduction
  • What you should know
1. NumPy Overview and Introduction to Jupyter Notebook
  • Why should you use NumPy?
  • Python lists vs. NumPy arrays
  • Jupyter Notebook basics
2. NumPy Array Types and Creating NumPy Arrays
  • Array types and conversions between types
  • Multidimensional arrays
  • Creating arrays from lists and other Python structures
  • Intrinsic NumPy array creation
  • Creating arrays filled with constant values
  • Finding the shape and size of an array
3. Manipulate NumPy Arrays
  • Adding, removing, and sorting elements
  • Copies and views
  • Reshaping arrays
  • Indexing and slicing
  • Joining and splitting arrays
4. Functions and Operations
  • Arithmetic operations and functions
  • Broadcasting
  • Aggregate functions
  • How to get unique items and counts
  • Transpose like operations
  • Reversing an array
Conclusion
  • Next steps

Taught by

Terezija Semenski

Reviews

4.7 rating at LinkedIn Learning based on 93 ratings

Start your review of NumPy Essential Training: 1 Foundations of NumPy

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.