Course curriculum

    1. 0.1 What's This Course About?

    2. 0.2 Let's Start With Lists. Yes, Lists

    3. 0.3 The Lesser-Known Array

    1. 1.1 Installing NumPy

    2. 1.2 Finally, Say Hello to ndarray

    3. 1.3 Looking Ahead to Some Other ndarray Features

    1. 2.1 Performing Operations Element-by-Element in NumPy • Vectorisation

    2. 2.2 Comparing Loops With Lists, List Comprehensions, and NumPy Vectorisation

    3. 2.3 Let's Race • Timing The Three Versions

    4. 2.4 A Glimpse At NumPy's Documentation

    1. 3.1 More Than One Dimension

    2. 3.2 Creating Arrays of Random Numbers • The Five-Player Three-Round Game

    3. 3.3 Broadcasting – A Brief Introduction

    4. 3.4 Another Glimpse At NumPy's Documentation

    5. 3.5 Let's Add One More Dimension • 3D Arrays

    1. 4.1 Boolean Operations on NumPy Arrays

    2. 4.2 Boolean Indexing and Filtering

    3. 4.3 There's Lots More in NumPy's API

    4. 4.4 Views and Copies – A Brief Introduction

    1. 5.1 Reading The Data From a CSV File to a NumPy Array

    2. 5.2 Remove What We Don't Need From The Array

    3. 5.3 Finding the Minimum, Maximum, and Mean Temperatures

    4. 5.4 Grouping Temperatures Using a Histogram

    5. 5.5 Grouping Temperatures Using a Histogram • Plotting the Data

About this course

  • 27 lessons
  • 3.5 hours of video content