So, you’ve got a lot of data. You might even say “big data.” You want to analyze it, and so you turn to Python and the SciPy stack. But you might also want to benefit from a relational database, such as PostgreSQL— either because the data is already in there, or because it’ll be useful to take advantage of some of PostgreSQL’s features. In this talk, Josh Berkus shows us how we can use PL/Python, running inside of the database — thus avoiding the need to transfer data from the database to Python. If you’re doing data science, using Python, or using PostgreSQL, then this talk will show yo how to combine these tools for fast and flexible open-source tools that help you to do great data science.
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