5 Ways to Use Python to Boost Your SQL Operations
Overcome SQL’s limitations with these Python methods.
Python and SQL: Together They’ll Go Far
Despite all the content available concerning query performance optimization, I’ve found that, sometimes, the best method for increasing SQL’s capabilities is to combine it with a scripting language like Python.
While SQL is, without a doubt, a powerful method for extracting, manipulating and writing to databases, it lacks the flexibility and utility of a scripting language, which can make certain operations, like looping, nearly impossible.
Additionally, limitations of underlying databases can reduce performance or prevent the execution of resource-consuming queries. For instance, I once ran into a persistent excessive meta-read error, which I’ll detail below.
A scripting language like Python provides a workaround that doesn’t just replace your SQL efforts. Using Python and SQL in conjunction can lead to more powerful, efficient and legible scripts.
Loop Through Multiple SQL Tables
One of the most obvious ways Python can help boost your SQL is by incorporating a query string into Python’s looping structure to iterate over several…
