Brand-new to Python (that's a warning, folks) Trying to write a routine to import a CSV file into a SQL Server table. To ensure that I convert the data from the CSV appropriately, I"m executing a query that gives me the schema (data column names, data types and sizes) from the target table.
What I think I want to do is to construct a dictionary using the column names as the index value, and a list containing the various attributes (data type, lenghth, precision). If this is NOT a good approach (or if there is a better approach), please issue a dope-slap, ignore the rest of this post and set me straight. If this is a good approach, I ran into a problem populating the dictionary as I couldn't seem to figure out how to make the update() method work by passing the name property of the row object; I kept getting a "keyword can't be an expression" error. What I was able to make work was to construct the command as a string and run exec(<python command>), but seems there shoudl be a more direct way of updating the dictionary. TIA. -- http://mail.python.org/mailman/listinfo/python-list
