.. _installation-instructions: ======================= Installing scikit-learn ======================= .. note:: If you wish to contribute to the project, it's recommended you :ref:`install the latest development version`. Installing the latest release ============================= Scikit-learn requires: - Python (>= 2.6 or >= 3.3), - NumPy (>= 1.6.1), - SciPy (>= 0.9). If you already have a working installation of numpy and scipy, the easiest way to install scikit-learn is using ``pip`` :: pip install -U scikit-learn or ``conda``:: conda install scikit-learn **We don't recommend installing scipy or numpy using pip on linux**, as this will involve a lengthy build-process with many dependencies. Without careful configuration, building numpy yourself can lead to an installation that is much slower than it should be. If you are using Linux, consider using your package manager to install scikit-learn. It is usually the easiest way, but might not provide the newest version. If you haven't already installed numpy and scipy and can't install them via your operation system, it is recommended to use a third party distribution. Third-party Distributions ========================== If you don't already have a python installation with numpy and scipy, we recommend to install either via your package manager or via a python bundle. These come with numpy, scipy, scikit-learn, matplotlib and many other helpful scientific and data processing libraries. Available options are: Canopy and Anaconda for all supported platforms ----------------------------------------------- `Canopy `_ and `Anaconda `_ both ship a recent version of scikit-learn, in addition to a large set of scientific python library for Windows, Mac OSX and Linux. Anaconda offers scikit-learn as part of its free distribution. .. warning:: To upgrade or uninstall scikit-learn installed with Anaconda or ``conda`` you **should not use the pip command**. Instead: To upgrade ``scikit-learn``:: conda update scikit-learn To uninstall ``scikit-learn``:: conda remove scikit-learn Upgrading with ``pip install -U scikit-learn`` or uninstalling ``pip uninstall scikit-learn`` is likely fail to properly remove files installed by the ``conda`` command. pip upgrade and uninstall operations only work on packages installed via ``pip install``. Python(x,y) for Windows ----------------------- The `Python(x,y) `_ project distributes scikit-learn as an additional plugin, which can be found in the `Additional plugins `_ page. For installation instructions for particular operating systems or for compiling the bleeding edge version, see the :ref:`advanced-installation`.