Moving to pypyodbc Org.

#107 (comment)

README.md

@@ -4,104 +4,4 @@ pypyodbc
 A pure Python Cross Platform ODBC interface module
 
 
-**This is the GitHub homepage of pypyodbc**  
-
-Also check out the  [Wiki](https://github.com/jiangwen365/pypyodbc/wiki) and [Version History](https://github.com/jiangwen365/pypyodbc/wiki/Version-History)
-
-
-Features
---------
-
-  * One pure Python script, runs on CPython / IronPython / PyPy , Python 3.3 / 2.4 / 2.5 / 2.6 / 2.7 , Win / Linux , 32 / 64 bit, now also seems to work on Mac with little effor: [How to use pypyodbc on MacOS OSX](https://github.com/jiangwen365/pypyodbc/wiki/How-to-use-pypyodbc-on-MacOS-OSX)
-  * Almost totally same usage as pyodbc (can be seen as a re-implementation of pyodbc in pure Python via ctypes)
-  * Simple - the whole module is implemented in a single python script with less than 3000 lines
-  * [Built-in Access MDB file creation and compression functions](https://github.com/jiangwen365/pypyodbc/wiki/Access-MDB-support) on Windows 
-
-Simply try pypyodbc:
-
-```python
-# Microsoft Access DB
-import pypyodbc 
-
-connection = pypyodbc.win_create_mdb('D:\\database.mdb')
-
-SQL = 'CREATE TABLE saleout (id COUNTER PRIMARY KEY,product_name VARCHAR(25));'
-connection.cursor().execute(SQL)
-connection.close()
-```
-
-```python
-#SQL Server 2000/2005/2008 (and probably 2012 and 2014)
-import pypyodbc as pyodbc # you could alias it to existing pyodbc code (not every code is compatible)
-db_host = 'serverhost'
-db_name = 'database'
-db_user = 'username'
-db_password = 'password'
-connection_string = 'Driver={SQL Server};Server=' + db_host + ';Database=' + db_name + ';UID=' + db_user + ';PWD=' + db_password + ';'
-db = pyodbc.connect(connection_string)
-SQL = 'CREATE TABLE saleout (id COUNTER PRIMARY KEY,product_name VARCHAR(25));'
-db.cursor().execute(SQL)
-
-# Doing a simple SELECT query
-connStr = (
-    r'Driver={SQL Server};'
-    r'Server=sqlserver;'
-    #r'Server=127.0.0.1,52865;' +
-    #r'Server=(local)\SQLEXPRESS;'
-    r'Database=adventureworks;'
-    #r'Trusted_Connection=Yes;'
-    r'UID=sa;'
-    r'PWD=sapassword;'
-    )
-db = pypyodbc.connect(connStr)
-cursor = db.cursor()
-
-# Sample with just a raw query:
-cursor.execute("select client_name, client_lastname, [phone number] from Clients where client_id like '01-01-00%'")
-
-# Using parameters (IMPORTANT: YOU SHOULD USE TUPLE TO PASS PARAMETERS)
-# Python note: a tuple with just one element must have a trailing comma, otherwise is just a enclosed variable
-cursor.execute("select client_name, client_lastname, [phone number] "
-"from Clients where client_id like ?", ('01-01-00%', ))
-
-# Sample, passing more than one parameter
-cursor.execute("select client_name, client_lastname, [phone number] "
-"from Clients where client_id like ? and client_age < ?", ('01-01-00%', 28))
-
-# Method 1, simple reading using cursor
-while True:
-    row = cursor.fetchone()
-    if not row:
-        break
-    print("Client Full Name (phone number): ", row['client_name'] + ' ' +  row['client_lastname'] + '(' + row['phone number'] + ')')
-
-# Method 2, we obtain dict's all records are loaded at the same time in memory (easy and verbose, but just use it with a few records or your app will consume a lot of memory), was tested in a modern computer with about 1000 - 3000 records just fine...
-import pprint; pp = pprint.PrettyPrinter(indent=4)
-columns = [column[0] for column in cursor.description]
-for row in cursor.fetchall():
-    pp.pprint(dict(zip(columns, row)))
-
-# Method 3, we obtain a list of dict's (represents the entire query)
-query_results = [dict(zip([column[0] for column in cursor.description], row)) for row in cursor.fetchall()]
-pp.pprint(query_results)
-
-# When cursor was used must be closed, if you will not use again the db connection must be closed too.
-cursor.close()
-db.close()
-```
-
-How to use it without install (the latest version from here)
---------------------------------------------
-Just copy the latest pypyodbc.py downloaded from this repository on your project folder and import the module.
-
-Install
--------
-
-If you have pip available (keep in mind that the version on pypi may be old):
-
-    pip install pypyodbc
-
-Or get the latest pypyodbc.py script from GitHub (Main Development site) <https://github.com/jiangwen365/pypyodbc>
-
-    python setup.py install
-
+** This project have been moved to https://github.com/pypyodbc/pypyodbc **