The Python Coding Place

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

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

2.3 Let's Race • Timing The Three Versions

2.4 A Glimpse At NumPy's Documentation

3.1 More Than One Dimension

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

3.3 Broadcasting – A Brief Introduction

3.4 Another Glimpse At NumPy's Documentation

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

4.1 Boolean Operations on NumPy Arrays

4.2 Boolean Indexing and Filtering

4.3 There's Lots More in NumPy's API

4.4 Views and Copies – A Brief Introduction

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

5.2 Remove What We Don't Need From The Array

5.3 Finding the Minimum, Maximum, and Mean Temperatures

5.4 Grouping Temperatures Using a Histogram

5.5 Grouping Temperatures Using a Histogram • Plotting the Data