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| 1 | ============
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| 2 | Introduction
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| 3 | ============
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| 4 | pyfact provides support for analysing FACT data using python. This comprises:
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| 5 |
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| 6 | * classes for accessing and analysing FACT data
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| 7 | * tools for specific tasks
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| 8 | * general python language support
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| 9 | * examples
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| 10 |
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| 11 | If you are new to python you need to learn the basics. In any case it would be wise to study the following book:
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| 12 |
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| 13 | *A Primer on Scientific Programming with Python - Hans Petter Langtangen*
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| 14 |
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| 15 | pyfact is supposed to follow closely the programming style thought in this book.
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| 16 |
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| 17 | `python documentation pages <http://docs.python.org/>`_
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| 18 |
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| 19 | `astropython.org <http://www.astropython.org/resources>`_
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| 20 |
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| 21 | Python version and modules used
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| 22 | -------------------------------
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| 23 | As long as you work on the ISDC FACT cluster most things should be just fine.
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| 24 | |python version: 2.6.6
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| 25 | |--- add later: list of modules
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| 26 |
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| 27 | Style guide and coding conventions
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| 28 | ----------------------------------
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| 29 | The code of pyfact follows the `Style Guide for python code <http://www.python.org/dev/peps/pep-0008/>. |
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