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