I work with Python and data a lot, specifically different RDBMS’s with structured data. Anyone who does this type of work will probably have run across pyodbc, a Python package that allows ODBC access into different
database platforms.

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One of the biggest hurdles I’ve found when teaching myself any sort of SQL/Python/Data Wrangling skills is the problem of finding usable, real life data to work with. Data that I can actually attempt to answer questions with.

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Hmmm…. What to use… What to use? When I want to explore data quickly and with the least amount of pain, the first problem I face is where do I start. There are a million approaches and I’m usually thinking long-term, ease of maintenance, surrounding platform, etc etc.

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