- 01/06/13 20:18:48 (16 months ago)
- 11059:83e86ea77981, 11060:340b8bf1cbb4
- 11057:3da1cf37de17 (diff), 11056:a68fd2fce444 (diff)
Note: this is a merge changeset, the changes displayed below correspond to the merge itself.
Use the (diff) links above to see all the changes relative to each parent.
- 1 edited
r11047 r11058 3 3 ############### 4 4 5 If you are new to Orange, then this is probably the best place to start. This 6 tutorial was written with a purpose to provide a gentle tutorial over basic 7 functionality of Orange. As Orange is integrated within `Python <http://www.python.org/>`_, the tutorial 8 is in essence a guide through some basic Orange scripting in this language. 9 Although relying on Python, those of you who have some knowledge on programming 10 won't need to learn Python first: the tutorial should be simple enough to skip 11 learning Python itself. 5 This is a gentle introduction on scripting in Orange. Orange is a Python `Python <http://www.python.org/>`_ library, and the tutorial is a guide through Orange scripting in this language. 12 6 13 Contents: 7 We here assume you have already `downloaded and installed Orange <http://orange.biolab.si/download/>`_ and have a working version of Python. Python scripts can run in a terminal window, integrated environments like `PyCharm <http://www.jetbrains.com/pycharm/>`_ and `PythonWin <http://wiki.python.org/moin/PythonWin>`_, 8 or shells like `iPython <http://ipython.scipy.org/moin/>`_. Whichever environment you are using, try now to import Orange. Below, we used a Python shell:: 9 10 % python 11 >>> import Orange 12 >>> Orange.version.version 13 '2.6a2.dev-a55510d' 14 >>> 15 16 If this leaves no error and warning, Orange and Python are properly 17 installed and you are ready to continue with this Tutorial. 18 19 ******** 20 Contents 21 ******** 14 22 15 23 .. toctree:: 16 24 :maxdepth: 1 17 25 18 start.rst 19 load-data.rst 20 basic-exploration.rst 26 data.rst 21 27 classification.rst 22 evaluation.rst 23 learners-in-python.rst 24 28 regression.rst 25 association-rules.rst 26 feature-subset-selection.rst 27 29 ensembles.rst 28 discretization.rst 30 .rst 29 31 30 32 **************** 31 Index and search 33 Index and earch 32 34 **************** 33 35
Note: See TracChangeset for help on using the changeset viewer.