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Numpy Fundamentals

Learn to master powerful numerical computations in Python for data science with this concise, hands-on course.

Syllabus

4 chapters18 lessons34 quiz questions

Introduction

3 lessons7
  • 01What is Numpy?
  • 02Numpy Core
  • 03Array Constraints

N-Dimensional Array Creation

6 lessons6
  • 01Higher Dimension
  • 02Understanding Shapes
  • 03Populate with Fixed Values
  • 04Numpy Types
  • 05Range
  • 06Reshape

Indexing Numpy Array

6 lessons12
  • 01Basic Indexing
  • 02Slicing
  • 03Array Indexing
  • 04Dimensional Indexing
  • 05Boolean Indexing
  • 06Multiple Condition Indexing

Arithmetic

3 lessons9
  • 01Simple Operations
  • 02Dot Product
  • 03Matrix Multiplications

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Frequently asked questions

How many lessons does Numpy Fundamentals have?

Numpy Fundamentals contains 18 interactive lessons you can complete at your own pace.

What does Numpy Fundamentals cover?

The course is organized into chapters covering: Introduction, N-Dimensional Array Creation, Indexing Numpy Array, Arithmetic.

Is Numpy Fundamentals free?

Yes - every course on Coddy is free to start. You can complete lessons in your browser without any downloads or signup.
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