Ignore:
Timestamp:
01/06/13 00:27:59 (16 months ago)
Author:
blaz <blaz.zupan@…>
Branch:
default
Message:

new tutorial

File:
1 edited

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  • docs/tutorial/rst/index.rst

    r11047 r11051  
    33############### 
    44 
    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. 
     5This 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. 
    126 
    13 Contents: 
     7We 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>`_, 
     8or 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 
     16If this leaves no error and warning, Orange and Python are properly 
     17installed and you are ready to continue with this Tutorial. 
     18 
     19******** 
     20Contents 
     21******** 
    1422 
    1523.. toctree:: 
    1624   :maxdepth: 1 
    1725 
    18    start.rst 
    19    load-data.rst 
    20    basic-exploration.rst 
     26   data.rst 
    2127   classification.rst 
    22    evaluation.rst 
    23    learners-in-python.rst 
    2428   regression.rst 
    25    association-rules.rst 
    26    feature-subset-selection.rst 
    2729   ensembles.rst 
    28    discretization.rst 
     30   python-learners.rst 
    2931 
    3032**************** 
    31 Index and search 
     33Index and Search 
    3234**************** 
    3335 
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