Nov 16, 2015 · For anyone looking to determine what python package they should use with SQL Server and seeing the variety of packages in these answers, note that Microsoft says "There are several python SQL drivers available. However, Microsoft places its testing efforts and its confidence in pyodbc driver."

Apr 18, 2015 · When uploading data from pandas to Microsoft SQL Server, most time is actually spent in converting from pandas to Python objects to the representation needed by the MS SQL ODBC driver. One of the reasons pandas is much faster for analytics than basic Python code is that it works on lean native arrays of integers / floats / … that don't have ...

sqlalchemy, a db connection module for Python, uses SQL Authentication (database-defined user accounts) by default. If you want to use your Windows (domain or local) credentials to authenticate to the SQL Server, the connection string must be changed.

If you are using SQLAlchemy's ORM rather than the expression language, you might find yourself wanting to convert an object of type sqlalchemy.orm.query.Query to a Pandas data frame.

Jun 26, 2014 · Python, SQL: Set the columns read as parameter. 6. pandas read_sql return query string with arguments ...

How do I connect MS SQL Server using Windows Authentication, with the pyodbc library? I can connect via MS Access and SQL Server Management Studio, but cannot get a working connection ODBC string for Python. Here's what I've tried (also without 'Trusted_Connection=yes'):

Python does support prepared statements: sql = "INSERT INTO {} (date, time, tag, power) VALUES (%s, %s, %s, %s);" sql = sql.format(self.db_scan_table) self.cursor.execute(sql, (d, t, tag, power)) (You should ensure self.db_scan_table is not vulnerable to SQL injection) This assumes your paramstyle is 'format', which it should be for MySQL.

Mar 9, 2011 · def debugLogSQL(sql): print ' '.join([line.strip() for line in sql.splitlines()]).strip() sql = """ select field1, field2, field3, field4 from table""" if debug: debugLogSQL(sql) This would also make it trivial to add additional logic to split the logged string across multiple lines if the line is longer than your desired length.

Apr 17, 2012 · # conn is an ODBC connection to the DB dbCursor = conn.cursor() sql = ('select field1, field2 from table') dbCursor = conn.cursor() dbCursor.execute(sql) for row in dbCursor: # Now you should be able to access the fields as properties of "row" myVar1 = row.field1 myVar2 = row.field2 conn.close()

Python SQL Update Syntax Issues. 0. Python/MySQL How to insert a String using a variable, keeps changing ...