diff --git a/doc/source/install.txt b/doc/source/install.txt index 5676d1b2..b704cca4 100644 --- a/doc/source/install.txt +++ b/doc/source/install.txt @@ -32,30 +32,31 @@ system below. Windows ------- Scikit-image comes with the Python distributions Anaconda_, -`Enthought Canopy`_ and `Python(x,y)`_. If you install any of -them, scikit-image should already be installed. +`Enthought Canopy`_, `Python(x,y)`_, and `WinPython`_. +If you install any of them, scikit-image should already be installed. .. _Anaconda: https://store.continuum.io/cshop/anaconda/ .. _Enthought Canopy: https://www.enthought.com/products/canopy/ .. _Python(x,y): http://code.google.com/p/pythonxy/wiki/Welcome +.. _WinPython: https://winpython.github.io/ If you prefer the regular Python distribution from python.org_, you can install scikit-image manually by downloading packages. You will need numpy_, -scipy_ and the scikit-image package. You can find the packages in `Cristoph +scipy_ and the scikit-image package. You can find the packages in `Christoph Gohlke's`_ web page with compiled Python packages. Here is the direct link to the `scipy section`_, `numpy section`_ and `scikit-image section`_. Make sure you download the right version for your system. E.g. numpy for Python 3.4 64 -bit would be ``numpy‑1.9.2+mkl‑cp34‑none‑win_amd64.whl``. +bit would be ``numpy-1.9.2+mkl-cp34-none-win_amd64.whl``. -To install Goehlke's packages, use pip:: +To install Gohlke's packages, use pip:: pip install wheel pip install --find-links Downloads scikit-image Here ``--find-links Downloads`` means that pip will look for packages in the folder named `Downloads`. Make sure that is where you saved the packages from -Goehlke. +Gohlke. As you see, installing scikit-image with pip requires some extra manual labor, so using a Python distribution is recommended on Windows. @@ -81,7 +82,7 @@ into the `setup of appveyor`_ (a continious integration service). .. _python.org: http://python.org/ .. _numpy: http://www.numpy.org/ .. _scipy: http://www.scipy.org/ -.. _Cristoph Gohlke's: http://www.lfd.uci.edu/~gohlke/pythonlibs/ +.. _Christoph Gohlke's: http://www.lfd.uci.edu/~gohlke/pythonlibs/ .. _numpy section: http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy .. _scipy section: http://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy .. _scikit-image section: http://www.lfd.uci.edu/~gohlke/pythonlibs/#scikit-image