======= Install ======= Kwant can be installed either using prepared packages (Debian and Ubuntu variants of GNU/Linux, Mac OS X, and Windows), or it can be built and installed from source. In general, installation from packages is advisable, especially for novice users. Expert users may find it helpful to build Kwant from source, as this will also allow them to customize Kwant to use certain optimized versions of libraries. Ubuntu (and derivatives) ======================== Execute the following commands:: sudo apt-add-repository ppa:kwant-project/ppa sudo apt-get update sudo apt-get install python-kwant python-kwant-doc This should provide Kwant for all versions of Ubuntu >= 12.04. The HTML documentation will be installed locally in the directory ``/usr/share/doc/python-kwant-doc``. Debian (and derivatives) ======================== The easiest way to install Kwant on a Debian system is using the pre-built packages we provide. Our packages are known to work with Debian "wheezy" and Debian "jessie", but they may also work on many other recent Debian-derived sytems as well. (For example, the following works with recent Ubuntu versions.) The lines prefixed with ``sudo`` have to be run as root. 1. Add the following lines to ``/etc/apt/sources.list``:: deb http://downloads.kwant-project.org/debian/ stable main deb-src http://downloads.kwant-project.org/debian/ stable main 2. (Optional) Add the OpenPGP key used to sign the repositories by executing:: sudo apt-key adv --keyserver pgp.mit.edu --recv-key C3F147F5980F3535 3. Update the package data, and install Kwant:: sudo apt-get update sudo apt-get install python-kwant python-kwant-doc The ``python-kwant-doc`` package is optional and installs the HTML documentation of Kwant in the directory ``/usr/share/doc/python-kwant-doc``. Should the last command (``apt-get install``) fail due to unresolved dependencies, you can try to build and install your own packages, which is surprisingly easy:: cd /tmp sudo apt-get build-dep tinyarray apt-get source --compile tinyarray sudo dpkg -i python-tinyarray_*.deb sudo apt-get build-dep kwant apt-get source --compile kwant sudo dpkg -i python-kwant_*.deb python-kwant-doc_*.deb This method should work for virtually all Debian-derived systems, even on exotic architectures. Windows ======= There are multiple distributions of scientific Python software for Windows that provide the prerequisites for Kwant. We recommend to use the packages kindly provided by Christoph Gohlke. To install Kwant on Windows 1. Determine whether you have a 32-bit or 64-bit Windows installation by following these `instructions <http://support.microsoft.com/kb/827218>`_. 2. Download and install Python 2.7 for the appropriate architecture (32-bit or 64-bit) from the official `Python download site <http://www.python.org/download/>`_. 3. Download and install ``scipy-stack``, ``tinyarray``, and ``kwant`` for Python 2.7 from `Christoph Gohlke's page <http://www.lfd.uci.edu/~gohlke/pythonlibs/>`_. Once again you should choose the architecture that is appropriate for your system. ("win32" means 32-bit, "amd64" means 64-bit -- even if you have a processor from Intel.) If the download from Gohlke's site is slow, try to download from `our mirror <http://downloads.kwant-project.org/gohlke-mirror/>`_. You may see a warning that says "The publisher could not be verified. Do you want to run this software?". Select "Run". Mac OSX ======= There is a number of different package managers for bringing software from the Unix/Linux world to Mac OSX. Since the community is quite split, we provide Kwant and its dependencies both via the `MacPorts <http://www.macports.org>`_ and `homebrew <http://brew.sh>`_ systems. (For non experts MacPorts is perhaps easier to handle). Mac OSX: MacPorts ================= MacPorts is a full-fledged package manager that recreates a whole Linux-like environment on your Mac. Beside Kwant, MacPorts gives you access to a wealth of free softwares which you can install on your computer easily (using simple command line instructions). It requires little choices to be made by the user, and allows for the simplest way to install Kwant. In order to install Kwant, you have to 1. Install a recent version of MacPorts. In order to do that, you first have to install the prerequisites described below. When this is done, you can proceed with the installation of MacPorts itself, as explained in the `installation instructions of MacPorts <http://www.macports.org/install.php>`_. The prerequisites are, * the Xcode developer tools (compiler suite for Mac OSX) from `<http://developer.apple.com/downloads>`_. You will need an Apple ID to download. Note that if you have one already from using the App store on the Mac/Ipad/Iphone/... you can use that one. You will also need the command line tools: Within Xcode 4, you have to download them by going to `Xcode->Preferences`, click on `Download`, go to `Components`, select `Command Line Tools` and click on `Install`. Alternatively, you can also directly download the command line tools from the Apple developer website. * if you have MacOSX 10.8 or higher, the X11 server from the `XQuartz project <http://xquartz.macosforge.org>`_. 2. After the installation, open a terminal and execute :: echo http://downloads.kwant-project.org/macports/ports.tar |\ sudo tee -a /opt/local/etc/macports/sources.conf >/dev/null (this adds the Kwant MacPorts download link `<http://downloads.kwant-project.org/macports/ports.tar>`_ at the end of the ``sources.conf`` file.) 3. Execute :: sudo port selfupdate 4. Now, install Kwant and its prerequisites :: sudo port install py27-kwant 5. Finally, we choose python 2.7 to be the default python :: sudo port select --set python python27 After that, you will need to close and reopen the terminal to have all changes in effect. Notes: * If you have problems with macports because your institution's firewall blocks macports (more precisely, the `rsync` port), resulting in errors from ``sudo port selfupdate``, follow `these instructions <https://trac.macports.org/wiki/howto/PortTreeTarball>`_. * Of course, if you already have macports installed, you can skip step 1 and continue with step 2. Mac OS X: homebrew ================== homebrew is a recent addition to the package managers on Mac OSX. It is more lightweight, tries to be as minimalistic as possible and give the user more freedom. Because of that, it requires a little more experience on the user side compared to MacPorts. The requirements are moderate though, if you know how to add directories to the ``$PATH`` variable for your shell, you are safe. 1. Open a terminal and install homebrew as described on the `homebrew homepage <http://brew.sh>`_ (instructions are towards the end of the page) 2. Run :: brew doctor and follow its directions. It will ask for a few prerequisites to be installed, in particular * the Xcode developer tools (compiler suite for Mac OSX) from `<http://developer.apple.com/downloads>`_. You will need an Apple ID to download. Note that if you have one already from using the App store on the Mac/Ipad/Iphone/... you can use that one. Downloading the command line tools (not the full Xcode suite) is sufficient. If you have the full Xcode suite installed, you might need to download the command line tools manually if you have version 4 or higher. In this case go to `Xcode->Preferences`, click on `Download`, go to `Components`, select `Command Line Tools` and click on `Install`. * although `brew doctor` might not complain about it right away, while we're at it, you should also install the X11 server from the `XQuartz project <http://xquartz.macosforge.org>`_ if you have Mac OSX 10.8 or higher. 3. Add permanently ``/usr/local/bin`` before ``/usr/bin/`` in the ``$PATH$`` environment variable of your shell, for example by adding :: export PATH=/usr/local/bin:$PATH at the end of your ``.bash_profile`` or ``.profile``. Then close the terminal Terminal and reopen it again. 4. Install a few prerequisites :: brew install gfortran python 5. Add additional repositories :: brew tap homebrew/science brew tap samueljohn/python brew tap michaelwimmer/kwant 6. Install Kwant and its prerequisites :: pip install nose brew install numpy scipy matplotlib brew install kwant Notes: - If something does not work as expected, use ``brew doctor`` for instructions (it will find conflicts and things like that). - As mentioned, homebrew allows for quite some freedom. In particular, if you are an expert, you don't need necessarily to install numpy/scipy/matplotlib from homebrew, but can use your own installation. The only prerequisite is that they are importable from python. (the Kwant installation will in any case complain if they are not) - In principle, you need not install the homebrew python, but could use Apple's already installed python. Homebrew's python is more up-to-date, though. Building and installing from source =================================== See complete `build instructions </docs/pre/install.html#building-and-installing-from-source>`_.