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README.txt
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Orange
======
Orange is a component-based data mining software. It includes a range of data
visualization, exploration, preprocessing and modeling techniques. It can be
used through a nice and intuitive user interface or, for more advanced users,
as a module for the Python programming language.
This is an early development version of Orange 3. The current stable version
2.7 is available on http://orange.biolab.si (binaries) and
https://github.com/biolab/orange (sources).
Installing
----------
This version of Orange requires Python 3.2 or newer. To build it, run::
pip install numpy
pip install -r requirements.txt
python setup.py develop
inside a virtual environment that uses Python 3.2.
Installation of Scipy and qt-graph-helpers is sometimes challenging because of
their non-python dependencies that have to be installed manually. Detailed
guides for some platforms can be found on the wiki
(https://github.com/biolab/orange3/wiki).
Starting Orange Canvas
----------------------
Orange Canvas requires PyQt, which is not pip-installable in Python 3. You
have to download and install it system-wide. Make sure that the virtual
environment for orange is created with --system-site-packages, so it will have
access to the installed PyQt4.
To start Orange Canvas from the command line, run::
python3 -m Orange.canvas
Windows dev setup
-----------------
Windows + gcc:
python setup.py build_ext -i --compile=mingw32