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    1. COI would then use various queries to work with the data. The point is, I put the data into Access and then I use Access to deal with it. And, I might use some VBA. I know VBA for Excel and want to learn it for Access. But, as you mention, it'd probably be really slow. That's why I thought of SAS also. I don't know much, but I have heard it's good at handling large sets of data. And, can you give me a very basic idea of how I would put the data into these programs?
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    2. COAccess might work, it's not (quite) as bad as it's often made out to be. You would use it the same way you use any database connection in Python: You import the Python module (eg, pyodbc); you create a connection object (passing in a string that specifies the ODBC driver and database file); from the connection object you create a cursor object, and you use the cursor object to execute SQL parameterized statements on the database.
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    3. COI'm unfamiliar with any Access performances issues related to "relational tasks". This does not conform to the reality I've experienced working with Jet/ACE over the past 15 years. JOINs are relatively expensive in all databases (particular OUTER joins), so I don't see it as much of a problem. 100s of thousands of rows are fine in Access. Millions might be a problem, but not because of performance so much as because of the hard limit of 2GBs on file size. But it actually depends on the size of the rows in the table. I've got a test database with over 7 million rows.
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