Metadata-Version: 1.1
Name: pyensae
Version: py3.3-v0.2.644
Summary: Helpers for teaching purposes (includes sqllite helpers)
Home-page: http://www.xavierdupre.fr/app/pyensae/helpsphinx/index.html
Author: Xavier Dupré
Author-email: xavier.dupre AT gmail.com
License: UNKNOWN
Download-URL: https://github.com/sdpython/pyensae/
Description: ï»¿.. _l-README:
        
        README
        ======
        
           
        **Links:**
            * `pypi/pyensae <https://pypi.python.org/pypi/pyensae/>`_
            * `GitHub/pyensae <https://github.com/sdpython/pyensae/>`_
            * `documentation <http://www.xavierdupre.fr/app/pyensae/helpsphinx/index.html>`_
            * `Windows Setup <http://www.xavierdupre.fr/site2013/index_code.html#pyensae>`_
        
        
        Description        
        -----------
        
        This project contain helpers used at the `ENSAE <http://www.ensae.fr/>`_ for teaching purposes.
        The project is hosted `here <http://www.xavierdupre.fr/site2013/index_code.html>`_ 
        on github: `github/pyensae <https://github.com/sdpython/pyensae/>`_,
        on pypi: `pypi/pyensae <https://pypi.python.org/pypi/pyensae/>`_.
        It requires `github/pyquickhelper <https://github.com/sdpython/puquickhelper/>`_.
        
        The main function is used to download data used for my teachings at the 
        `ENSAE <http://www.xavierdupre.fr/site2013/enseignements/index.html>`_
        from the website `http://www.xavierdupre.fr/`_::
        
            download_data("td8_velib.zip", website = "xd")
            
        The second functionality is the ability to import a text file into a SQLite database::
        
            import_flatfile_into_database("sqlitedb.db3", "flat_file.txt")
            
        The last function is about getting stock prives from `Yahoo Finance <http://fr.finance.yahoo.com/>`_ ::
        
            stock = StockPrices( "BNP.PA", folder = "temp" )
            
        To draw a graph with multiple stock prices::
        
            stocks = [ StockPrices ("BNP.PA", folder = cache),
                        StockPrices ("CA.PA", folder = cache),
                        StockPrices ("SAN.PA", folder = cache),
                        ]
            fig, ax, plt = StockPrices.draw(stocks)
            fig.savefig("image.png")
            
            # or 
            
            fig, ax, plt = StockPrices.draw(stocks, begin="2010-01-01")
            plt.show()  
        
            
            
        Contributions
        -------------
        
        Started in 2013/08.
        
        * First contributor: `Xavier DuprÃ© <http://www.xavierdupre.fr/>`_.
        * Others contributors: ENSAE's students.
        
        
Keywords: pyensae,ENSAE,sqllite,database,teachings
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Intended Audience :: Developers
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Education
Classifier: License :: OSI Approved :: BSD License
