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All LessonsFree Lessons (5)

Introduction

What is NumPy?Creation in NumPy Reshaping in NumPy Indexing in NumPy Broadcasting in NumPy NumPy Vectorization Readability vs. Speed

Anatomy of an Array

Introduction Memory layout Views and Copies Coding Example: How to find if one vector is view of the other?Solution Review

Code Vectorization

Uniform Vectorization

Coding Example: Game of life (Python approach)

Coding Example: Game of life (NumPy approach)

Coding Example: Reaction-Diffusion

Temporal Vectorization

Coding Example: The Mandelbrot Set (Python approach)

Coding Example: The Mandelbrot Set (NumPy approach)

Coding Example: Minkowski-Bouligand Dimension

Spatial Vectorization

Coding Example: Implement the behavior of Boids (Python approach)

Coding Example: Implement the behavior of Boids (NumPy approach)

Problem Vectorization

Introduction Coding Example: Find shortest path in a maze Coding Example: Find shortest path in a maze (Breadth-First approach)Coding Example: Find shortest path in a maze (Bellman-Ford approach)Coding Example: Fluid Dynamics Coding Example: Blue Noise Sampling Coding Example: Blue Noise Sampling using DART method Coding Example: Blue Noise Sampling using Bridson method Conclusion

Custom Vectorization

Typed list Coding Example: Modifying the list Memory-aware Array: Glumpy Memory-aware Array: Array Subclass in GPUData class Conclusion

Beyond NumPy

Back to Python NumPy & co Scipy & co Conclusion

Conclusion

About the Author A Quick Overview

From Python to Numpy/

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Conclusion

Conclusion

This lesson provides a brief summary of what we have covered so far in this chapter.

We'll cover the following...

We’ve seen three forms of code vectorization through these examples:

Uniform vectorization where elements share the same computation unconditionally and for the same

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