(Instead of typing this command, you can also just copy it from here and
paste it into the command prompt window). If you did not use the default
location to install Python in step 2, then replace ``C:\Python27`` by the
actual location where Python is installed.
5. Reboot your computer.
6. Download the necessary packages (with the ending ``.whl``) for your
operating system (32 or 64 bit) and Python version (e.g. ``cp27`` for Python
2.7) from the `website of Christoph Gohlke
<http://www.lfd.uci.edu/~gohlke/pythonlibs/>`_. For Kwant, we recommend to download at least `NumPy <http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy>`__, `SciPy <http://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy>`__, `Matplotlib <http://www.lfd.uci.edu/~gohlke/pythonlibs/#matplotlib>`__, `Nose <http://www.lfd.uci.edu/~gohlke/pythonlibs/#nose>`__, `Tinyarray <http://www.lfd.uci.edu/~gohlke/pythonlibs/#tinyarray>`__, and `Kwant <http://www.lfd.uci.edu/~gohlke/pythonlibs/#kwant>`__ itself.
7. Now open a command prompt with administrator rights, as described in
"How do I run a command with elevated permissions" at the
`Microsoft Windows website <http://windows.microsoft.com/en-us/windows/command-prompt-faq>`_.
In this new command prompt window, execute ::
pip install <filename>
for each of the downloaded files (replacing ``<filename>`` with it).
Now you are done, you can ``import kwant`` from within Python scripts.
(Note that many other userful scientific packages are available in Gohlke’s
repository. For example, you might want to install `IPython
<http://www.lfd.uci.edu/~gohlke/pythonlibs/#ipython>`_ and its various
dependencies so that you can use the `IPython notebook <http://ipython.org/notebook.html>`_.)
