Metadata-Version: 1.1
Name: baresql
Version: 0.7.1
Summary: playing SQL directly on Python datas
Home-page: https://github.com/stonebig/baresql
Author: stonebig
Author-email: write_pull_requests_to_stonebig@github.com
License: MIT license
Description: baresql : playing SQL directly on Python datas
        ==============================================
        
        baresql improves sql agility of python data science beginners by :
         * allowing sql over python objects (list, ranges, ...) and SQL Tables,
         * requiring no special module except : pandas. 
        
        Inspiration :
        -------------
        
        * pypi.python.org/pypi/pandasql : sqldf for pandas
         
        * pypi.python.org/pypi/ipython-sql :  sql magic in Ipython
        
        
        Features
        --------
        
        * query lists , tuple, dictionnaries, dataframes 
        
        * result as a dataframe, list of records, or list
        
        * basic Common Table Expression support on old python3.3- versions
        
        
        Installation
        ------------
        
        You can install, upgrade, uninstall sqlite_bro.py with these commands::
        
          $ pip install baresql
          $ pip install --upgrade baresql
          $ pip uninstall baresql
        
        or just launch it from IPython with %load https://raw.githubusercontent.com/stonebig/baresql/master/baresql/baresql.py
        
        or just copy the file 'sqlite_bro.py' to any pc (with python installed)
        
        Basic Example 
        -------------
        
        ::
        
          from __future__ import print_function, unicode_literals, division  # if Python2.7
          from baresql import baresql
          bsql = baresql.baresql(keep_log = True )
          bsqldf = lambda q: bsql.df(q, dict(globals(),**locals()))
          
          users = ['Alexander', 'Bernard', 'Charly', 'Danielle', 'Esmeralda', 'Franz']
          #  We use the python 'users' list like a SQL table
          sql = "select 'Welcome ! ' , c0 from users$$"
          bsqldf(sql)
         
        
        Examples
        --------
        http://nbviewer.ipython.org/github/stonebig/baresql/blob/master/examples/baresql_with_cte.ipynb
        
        Links
        -----
        
        * `Fork me on GitHub <http://github.com/stonebig/baresql>`_
        
        Changelog
        =========
        
        
        2014-11-11a : v0.7.0.0 'I Need this !'
        --------------------------------------
        
        * first version on pypi
        * compatibility fix for python 2.7
        * removed sqlite_py_manager (gone to sqlite_bro package)
        
        older versions :
        ----------------
        
         * 0.7dev : support of pandas 0.14 sqlalchemy
         * 0.6.6 : sqlite_py_manager.py browser added functions and fix, fix tokenizer error in baresql
         * 0.6.4 : minimal compatibility of sqlite_py_manager.py with old versions : python 2.7 and sqlite 3.6.21
         * 0.6.1 : a pure standard-installation Python SQLite browser in examples\sqlite_py_manager.py 
         * 0.6 : first version with correct mysql support
         * 0.5.1 : bug correction + SQLite3.8.3 beta from 2013-01-22
         * 0.5 : use SQLite true CTE if SQLite >= 3.8.3
         * 0.4.1 : inline CTE when syntax is "with x as (y)"
         * 0.4 : rewrite with token
         * 0.3.2 : support comments in the SQL
         * 0.3 : includes a basic CTE
         * 0.2 : add "range(10)" iterable object support 
         * 0.1 : initial version
        
Keywords: sqlite,sql
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Education
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Topic :: Scientific/Engineering :: Information Analysis
