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A quick tutorial of NumPy and scikit-image for the COMBINE Python workshop, 2014-11-27

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numpy-skimage-tutorial

A quick tutorial of NumPy and scikit-image for the COMBINE Python workshop, 2014-11-27

Prerequisites

We will be using the "memory_profiler" module to demonstrate NumPy's memory advantages. To install it, it's best to create a new conda environment, and then use "pip":

conda create -n tutorial --clone root
source activate tutorial
pip install memory_profiler

Instructions

Make sure you are running the "tutorial" environment created above. If in doubt, type "source activate tutorial" before starting below:

  • Clone this repository.
  • cd into the 'notebooks' directory
  • run ipython notebook
  • click on "2014 COMBINE Python Workshop -- NumPy and scikit-image.ipynb"

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A quick tutorial of NumPy and scikit-image for the COMBINE Python workshop, 2014-11-27

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