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From Python to Numpy

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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

Introduction 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)Conclusion

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

NumPy & co

This lesson discusses a couple of other useful Python packages that you can use depending on your requirements.

We'll cover the following

- NumExpr
- Cython
- Numba
- Theano
- PyCUDA
- PyOpenCL

Beyond NumPy, there are several other Python packages that are worth a look because they address similar yet different class of problems using different technology (compilation, virtual machine, just in time compilation, GPU, compression, etc.). Depending on your specific problem and your hardware, one package may be better than the other.

Let’s illustrate their usage using a very simple example where we want to compute an expression based on two float vectors: