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Tutorial Preparation

Stefan van der Walt edited this page Jun 3, 2016 · 9 revisions

Format

The tutorial consists of lecture segments, followed by hands-on exercises. We strongly encourage you to bring a laptop with all the required packages installed in order to participate fully.

Software required

  • Python

    If you are new to Python, please install the Anaconda distribution for Python version 3 (available on OSX, Linux and Windows). Everyone else, feel free to use your favorite distribution, but please ensure the requirements below are met:

    • numpy >= 1.10
    • scipy >= 0.15
    • matplotlib >= 1.5
    • skimage >= 0.12
    • sklearn >= 0.15

    In the next section below, we provide a test script to confirm the version numbers on your system.

  • Jupyter

    The lecture material includes Jupyter notebooks. Please follow the Jupyter installation instructions.

Test your setup

import numpy as np
import scipy as sp
import matplotlib as mpl
import skimage
import sklearn

for module in (np, sp, mpl, skimage, sklearn):
    print(module.__name__, module.__version__)

E.g., on my computer, I see:

numpy 1.11.0
scipy 0.17.0
matplotlib 1.5.1
skimage 0.12.3
sklearn 0.17.1
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