0_installation.ipynb

Kernel: Python 3

Preparation

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 >= 0.17

  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, and ensure you have version 4 or later:

  $ jupyter --version
  4.1.0
  

Test your setup

Please run the following commands inside of Python:

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

If you do not have a working setup, please contact the instructors. We have a limited number of hosted online accounts available for attendees.

Downloading lecture material

There are two ways of downloading the lecture materials:

a) Get the ZIP file from GitHub <https://github.com/scikit-image/skimage-tutorials/archive/master.zip>__ b) Clone the repository at https://github.com/scikit-image/skimage-tutorial