Dynamic MySQL CREATE TABLE statement with pandas and pyodbc

Have you ever had to type out a massive CREATE TABLE statement by hand? One with dozens of columns? Maybe several dozens of columns? There are likely some GUI tools to help with large CREATE TABLE commands. Or, other drag-n-drop types of software that I am not familiar with. What if you could write a few lines of Python code and take care of a huge CREATE TABLE statement with way less effort than typed manually? Interested? Continue reading and see how using pandas, pyodbc, and MySQL…

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Pyodbc meta-data methods you should be using – interactions with MySQL.

In my day job, I have recently begun to leverage the Python pyodbc package for MS Access related database tasks. Working with any database, it goes without saying that understanding the schema is paramount. What tables are present? What are their columns and types? How are they related? Among the many methods pyodbc provides, to answer these types of questions, it provides 3 ‘meta-data’ methods you simply cannot live without. Want to know which ones they are? Keep reading…

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