Metadata-Version: 1.0
Name: ambhas
Version: 0.0.3
Summary: A library devloped under the project AMBHAS
Home-page: http://ambhas.com/
Author: Sat Kumar Tomer
Author-email: satkumartomer@gmail.com
License: UNKNOWN
Download-URL: http://ambhas.com/tools/ambhas-0.0.3.tar.gz
Description: ============
        ambhas
        ============
        
        This is a package/library in python developed under the project `AMBHAS <http://www.ambhas.com/>`_.
        This has various module like: copula, errlib etc.
        
        
        Installing ambhas
        ======================
        
        Installing ambhas can be done by downloading source file (ambhas--<version>.tar.gz),
        and after unpacking issuing the command::
        
            python setup.py install
        
        This requires the usual Distutils options available.
        
        Or, download the ambhas--<version>.tar.gz file and issue the command::
            
           pip install /path/to/ambhas--<version>.tar.gz
        
        Or, directly using the pip::
        
           pip install ambhas   
        
        
        Usage
        =========
        Import required modules::
        
            import numpy as np
            from ambhas.errlib import rmse, correlation
        
        Generate some random numbers::
        
            x = np.random.normal(size=100)
            y = np.random.normal(size=100)
            rmse(x,y)
            correlation(x,y)
          
        Changelog
        =========
        
        0.0.0 (July 2011)
        ------------------
        - Initial release
        
        0.0.1 (Nov 2011)
        ------------------
        - a new sublibrary 'krig' added
        
        0.0.2 (Nov 2011)
        -----------------
        - a new sublibrary 'sunlib' added
        
        0.0.3 (Nov 2011)
        -----------------
        - A new sub-library added to deal with reading
        and writting the xls data. This library is based
        on 'xlrd' and 'xlwt', and provide an easier way to 
        read and write the data.
        
        
        Documentation
        ================
        Examples of using this library are provided in the book
        Sat Kumar Tomer. Python in Hydrology, Green Tea Press.
        The books is available for free to download. 
        
        Any questions/comments
        =========================
        If you have any comment/suggestion/question, 
        please feel free to write me at satkumartomer@gmail.com
        
        
        
        
        
        
Keywords: ambhas,hydrology,statistics,modelling
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Other Environment
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU Library or Lesser General Public License (LGPL)
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering
